{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<p align=\"center\">\n",
    "    <img src=\"https://github.com/GeostatsGuy/GeostatsPy/blob/master/TCG_color_logo.png?raw=true\" width=\"220\" height=\"240\" />\n",
    "\n",
    "</p>\n",
    "\n",
    "## Data Analytics \n",
    "\n",
    "### Ensemble Declustering for Spatial Data Debiasing in Python  \n",
    "\n",
    "\n",
    "#### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "##### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wide Array Declustering Data Distribution Representativity Plotting in Python with GeostatsPy\n",
    "\n",
    "Here's a simple workflow with some basic univariate statistics and distribution representativity. This should help you get started data declustering to address spatial sampling bias.\n",
    "\n",
    "#### Geostatistical Sampling Representativity\n",
    "\n",
    "In general, we should assume that all spatial data that we work with is biased.\n",
    "\n",
    "##### Source of Spatial Sampling Bias\n",
    "\n",
    "Data is collected to answer questions:\n",
    "* how far does the contaminant plume extend? – sample peripheries\n",
    "* where is the fault? – drill based on seismic interpretation\n",
    "* what is the highest mineral grade? – sample the best part\n",
    "* who far does the reservoir extend? – offset drilling\n",
    "and to maximize NPV directly:\n",
    "* maximize production rates\n",
    "\n",
    "**Random Sampling**: when every item in the population has a equal chance of being chosen. Selection of every item is independent of every other selection.\n",
    "Is random sampling sufficient for subsurface?  Is it available?\n",
    "* it is not usually available, would not be economic\n",
    "* data is collected answer questions\n",
    "    * how large is the reservoir, what is the thickest part of the reservoir \n",
    "* and wells are located to maximize future production\n",
    "    * dual purpose appraisal and injection / production wells!\n",
    "\n",
    "**Regular Sampling**: when samples are taken at regular intervals (equally spaced).  \n",
    "* less reliable than random sampling.\n",
    "* Warning: may resonate with some unsuspected environmental variable.\n",
    "\n",
    "What do we have?\n",
    "* we usually have biased, opportunity sampling \n",
    "* we must account for bias (debiasing will be discussed later)\n",
    "\n",
    "So if we were designing sampling for representativity of the sample set and resulting sample statistics, by theory we have 2 options, random sampling and regular sampling.\n",
    "\n",
    "* What would happen if you proposed random sampling in the Gulf of Mexico at $150M per well?\n",
    "\n",
    "We should not change current sampling methods as they result in best economics, we should address sampling bias in the data.\n",
    "\n",
    "Never use raw spatial data without access sampling bias / correcting.\n",
    "\n",
    "##### Mitigating Sampling Bias\n",
    "\n",
    "In this demonstration we will take a biased spatial sample data set and apply declustering using **GeostatsPy** functionality.\n",
    "\n",
    "#### Objective \n",
    "\n",
    "In the PGE 383: Stochastic Subsurface Modeling class I want to provide hands-on experience with building subsurface modeling workflows. Python provides an excellent vehicle to accomplish this. I have coded a package called GeostatsPy with GSLIB: Geostatistical Library (Deutsch and Journel, 1998) functionality that provides basic building blocks for building subsurface modeling workflows. \n",
    "\n",
    "The objective is to remove the hurdles of subsurface modeling workflow construction by providing building blocks and sufficient examples. This is not a coding class per se, but we need the ability to 'script' workflows working with numerical methods.    \n",
    "\n",
    "#### Getting Started\n",
    "\n",
    "Here's the steps to get setup in Python with the GeostatsPy package:\n",
    "\n",
    "1. Install Anaconda 3 on your machine (https://www.anaconda.com/download/). \n",
    "2. From Anaconda Navigator (within Anaconda3 group), go to the environment tab, click on base (root) green arrow and open a terminal. \n",
    "3. In the terminal type: pip install geostatspy. \n",
    "4. Open Jupyter and in the top block get started by copy and pasting the code block below from this Jupyter Notebook to start using the geostatspy functionality. \n",
    "\n",
    "You will need to copy the data file to your working directory.  They are available here:\n",
    "\n",
    "* Tabular data - sample_data_biased.csv at https://git.io/fh0CW\n",
    "\n",
    "There are exampled below with these functions. You can go here to see a list of the available functions, https://git.io/fh4eX, other example workflows and source code. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geostatspy.GSLIB as GSLIB          # GSLIB utilies, visualization and wrapper\n",
    "import geostatspy.geostats as geostats    # GSLIB methods convert to Python        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will also need some standard packages. These should have been installed with Anaconda 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np                        # ndarrys for gridded data\n",
    "import pandas as pd                       # DataFrames for tabular data\n",
    "import os                                 # set working directory, run executables\n",
    "import matplotlib.pyplot as plt           # for plotting\n",
    "from scipy import stats                   # summary statistics\n",
    "from numba import jit                     # code precompile for acceleration \n",
    "import random                             # bootstrap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"c:/PGE383\")             # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Loading Tabular Data\n",
    "\n",
    "Here's the command to load our comma delimited data file in to a Pandas' DataFrame object.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('sample_data_biased.csv')     # load our data table (wrong name!)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No error now! It worked, we loaded our file into our DataFrame called 'df'. But how do you really know that it worked? Visualizing the DataFrame would be useful and we already leard about these methods in this demo (https://git.io/fNgRW). \n",
    "\n",
    "We can preview the DataFrame by printing a slice or by utilizing the 'head' DataFrame member function (with a nice and clean format, see below). With the slice we could look at any subset of the data table and with the head command, add parameter 'n=13' to see the first 13 rows of the dataset.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Facies</th>\n",
       "      <th>Porosity</th>\n",
       "      <th>Perm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>900</td>\n",
       "      <td>1</td>\n",
       "      <td>0.115359</td>\n",
       "      <td>5.736104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.136425</td>\n",
       "      <td>17.211462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>0.135810</td>\n",
       "      <td>43.724752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.094414</td>\n",
       "      <td>1.609942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0.113049</td>\n",
       "      <td>10.886001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>200</td>\n",
       "      <td>800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.154648</td>\n",
       "      <td>106.491795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>200</td>\n",
       "      <td>700</td>\n",
       "      <td>1</td>\n",
       "      <td>0.153113</td>\n",
       "      <td>140.976324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>200</td>\n",
       "      <td>500</td>\n",
       "      <td>1</td>\n",
       "      <td>0.126167</td>\n",
       "      <td>12.548074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>200</td>\n",
       "      <td>400</td>\n",
       "      <td>0</td>\n",
       "      <td>0.094750</td>\n",
       "      <td>1.208561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>200</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0.150961</td>\n",
       "      <td>44.687430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>300</td>\n",
       "      <td>800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.199227</td>\n",
       "      <td>1079.709291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>300</td>\n",
       "      <td>700</td>\n",
       "      <td>1</td>\n",
       "      <td>0.154220</td>\n",
       "      <td>179.491695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>300</td>\n",
       "      <td>500</td>\n",
       "      <td>1</td>\n",
       "      <td>0.137502</td>\n",
       "      <td>38.164911</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      X    Y  Facies  Porosity         Perm\n",
       "0   100  900       1  0.115359     5.736104\n",
       "1   100  800       1  0.136425    17.211462\n",
       "2   100  600       1  0.135810    43.724752\n",
       "3   100  500       0  0.094414     1.609942\n",
       "4   100  100       0  0.113049    10.886001\n",
       "5   200  800       1  0.154648   106.491795\n",
       "6   200  700       1  0.153113   140.976324\n",
       "7   200  500       1  0.126167    12.548074\n",
       "8   200  400       0  0.094750     1.208561\n",
       "9   200  100       1  0.150961    44.687430\n",
       "10  300  800       1  0.199227  1079.709291\n",
       "11  300  700       1  0.154220   179.491695\n",
       "12  300  500       1  0.137502    38.164911"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print(df.iloc[0:5,:])                   # display first 4 samples in the table as a preview\n",
    "df.head(n=13)                           # we could also use this command for a table preview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Summary Statistics for Tabular Data\n",
    "\n",
    "The table includes X and Y coordinates (meters), Facies 1 and 2 (1 is sandstone and 0 interbedded sand and mudstone), Porosity (fraction), and permeability as Perm (mDarcy). \n",
    "\n",
    "There are a lot of efficient methods to calculate summary statistics from tabular data in DataFrames. The describe command provides count, mean, minimum, maximum, and quartiles all in a nice data table. We use transpose just to flip the table so that features are on the rows and the statistics are on the columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>X</th>\n",
       "      <td>289.0</td>\n",
       "      <td>475.813149</td>\n",
       "      <td>254.277530</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>670.000000</td>\n",
       "      <td>990.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Y</th>\n",
       "      <td>289.0</td>\n",
       "      <td>529.692042</td>\n",
       "      <td>300.895374</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>269.000000</td>\n",
       "      <td>549.000000</td>\n",
       "      <td>819.000000</td>\n",
       "      <td>999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Facies</th>\n",
       "      <td>289.0</td>\n",
       "      <td>0.813149</td>\n",
       "      <td>0.390468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Porosity</th>\n",
       "      <td>289.0</td>\n",
       "      <td>0.134744</td>\n",
       "      <td>0.037745</td>\n",
       "      <td>0.058548</td>\n",
       "      <td>0.106318</td>\n",
       "      <td>0.126167</td>\n",
       "      <td>0.154220</td>\n",
       "      <td>0.228790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perm</th>\n",
       "      <td>289.0</td>\n",
       "      <td>207.832368</td>\n",
       "      <td>559.359350</td>\n",
       "      <td>0.075819</td>\n",
       "      <td>3.634086</td>\n",
       "      <td>14.908970</td>\n",
       "      <td>71.454424</td>\n",
       "      <td>5308.842566</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          count        mean         std       min         25%         50%  \\\n",
       "X         289.0  475.813149  254.277530  0.000000  300.000000  430.000000   \n",
       "Y         289.0  529.692042  300.895374  9.000000  269.000000  549.000000   \n",
       "Facies    289.0    0.813149    0.390468  0.000000    1.000000    1.000000   \n",
       "Porosity  289.0    0.134744    0.037745  0.058548    0.106318    0.126167   \n",
       "Perm      289.0  207.832368  559.359350  0.075819    3.634086   14.908970   \n",
       "\n",
       "                 75%          max  \n",
       "X         670.000000   990.000000  \n",
       "Y         819.000000   999.000000  \n",
       "Facies      1.000000     1.000000  \n",
       "Porosity    0.154220     0.228790  \n",
       "Perm       71.454424  5308.842566  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's store metrics to compare each of the methods.\n",
    "\n",
    "* diagnostics to explore the spatial sampling bias in the dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "methods = ['Cell', 'Kriging', 'Poly']\n",
    "por_dmean = np.zeros(3)\n",
    "wts_mean = np.zeros(3)\n",
    "wts_std = np.zeros(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Specify the Area of Interest\n",
    "\n",
    "It is natural to set the x and y coordinate and feature ranges manually. e.g. do you want your color bar to go from 0.05887 to 0.24230 exactly? Also, let's pick a color map for display. I heard that plasma is known to be friendly to the color blind as the color and intensity vary together (hope I got that right, it was an interesting Twitter conversation started by Matt Hall from Agile if I recall correctly). We will assume a study area of 0 to 1,000m in x and y and omit any data outside this area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "xmin = 0.0; xmax = 1000.0               # range of x values\n",
    "ymin = 0.0; ymax = 1000.0               # range of y values\n",
    "pormin = 0.05; pormax = 0.26;             # range of porosity values\n",
    "cmap = plt.cm.inferno                    # color map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualizing Tabular Data with Location Maps¶ \n",
    "Let's try out locmap. This is a reimplementation of GSLIB's locmap program that uses matplotlib. I hope you find it simpler than matplotlib, if you want to get more advanced and build custom plots lock at the source. If you improve it, send me the new code. Any help is appreciated. To see the parameters, just type the command name:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function geostatspy.GSLIB.locmap(df, xcol, ycol, vcol, xmin, xmax, ymin, ymax, vmin, vmax, title, xlabel, ylabel, vlabel, cmap, fig_name)>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GSLIB.locmap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can populate the plotting parameters and visualize the porosity data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x17311dc0248>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GSLIB.locmap(df,'X','Y','Porosity',xmin,xmax,ymin,ymax,pormin,pormax,'Well Data - Porosity','X(m)','Y(m)','Porosity (fraction)',cmap,'locmap_Porosity')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Look carefully, and you'll notice the the spatial samples are more dense in the high porosity regions and lower in the low porosity regions.  There is preferential sampling.  We cannot use the naive statistics to represent this region.  We have to correct for the clustering of the samples in the high porosity regions. \n",
    "\n",
    "### Cell-based Declustering\n",
    "\n",
    "Let's try cell declustering. We can interpret that we will want to minimize the declustering mean and that a cell size of between 100 - 200m is likely a good cell size, this is 'an ocular' estimate of the largest average spacing in the sparsely sampled regions.   \n",
    "\n",
    "Let's check out the declus program reimplimented from GSLIB."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function geostatspy.geostats.declus(df, xcol, ycol, vcol, iminmax, noff, ncell, cmin, cmax)>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geostats.declus"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now populate the parameters. We will run a very wide range of cell sizes, from 10m to 2,000m ('cmin' and 'cmax') and take the cell size that minimizes the declustered mean ('iminmax' = 1 minimize, and = 0 maximize). Multiple offsets (number of these is 'noff') uses multiple grid origins and averages the results to remove sensitivity to grid position.  The ncell is the number of cell sizes.\n",
    "\n",
    "The output from this program is:\n",
    "\n",
    "* wts - an array with the weigths for each data (they sum to the number of data, 1 indicates nominal weight)\n",
    "* cell_sizes - an array with the considered cell sizes\n",
    "* dmeans - de an "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 289 data with:\n",
      "   mean of      0.13474387540138408 \n",
      "   min and max  0.058547873 and 0.228790002\n",
      "   standard dev 0.03767982164385207 \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Facies</th>\n",
       "      <th>Porosity</th>\n",
       "      <th>Perm</th>\n",
       "      <th>Wts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>900</td>\n",
       "      <td>1</td>\n",
       "      <td>0.115359</td>\n",
       "      <td>5.736104</td>\n",
       "      <td>3.064286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.136425</td>\n",
       "      <td>17.211462</td>\n",
       "      <td>1.076608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>0.135810</td>\n",
       "      <td>43.724752</td>\n",
       "      <td>0.997239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.094414</td>\n",
       "      <td>1.609942</td>\n",
       "      <td>1.165119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0.113049</td>\n",
       "      <td>10.886001</td>\n",
       "      <td>1.224164</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     X    Y  Facies  Porosity       Perm       Wts\n",
       "0  100  900       1  0.115359   5.736104  3.064286\n",
       "1  100  800       1  0.136425  17.211462  1.076608\n",
       "2  100  600       1  0.135810  43.724752  0.997239\n",
       "3  100  500       0  0.094414   1.609942  1.165119\n",
       "4  100  100       0  0.113049  10.886001  1.224164"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wts, cell_sizes, dmeans = geostats.declus(df,'X','Y','Porosity',iminmax = 1, noff= 10, ncell=100,cmin=10,cmax=2000)\n",
    "df['Wts'] = wts                            # add weights to the sample data DataFrame\n",
    "df.head()                                  # preview to check the sample data DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at the location map of the weights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7tu2lXoQ5v8zpUkiyKERGRpbZuLGxsTz6nyfKrP+KxqwZUzj893cM7BOBEILv5o9ny5/9eOrpF0vdR6NGTfln10o6d746v0xKyb69ZW/cXsY2AFUW9TFKxedoNBpGjHmIFYmbyLblIqXk2NlT/O06ztBRajoHfzDggfs5qE/kSEY8Ukpy7BZ+StzEgOEDK9WT7D0DH2DpKS1bT6QjpSTdYmfypiT6DRpZqeZRkUlKSmLLhm9548lGXNs8glbNwnl9TEP27VxBfHx8qfvp3q0H27ee5uefd+JyucjNzWPGR6to2LBVGUoPIJGK0+urOqNuAFTKhAEPDOThiWNZrzvA1+nryLhKx8yv5/rEd78qoigKW7ZsYcWKFSQkJFy6wSUIDw/nk4XzONsCZh9bwvKsjQx6cSQjH6lcsQPCw8N5f95CNga1Y/TaDF79Bzo/9BJDRz186cYqpeKvv/6i63VGNJoCdb8QgpuuM7Bt27aLtHRz7n939erVPPfcq+zfq2XYg7N54rEFREZcz/PP/e+SfVwRUiKly+urOqMeAaiUGb379KZ3n97lLUaFJyUlheGDH8Z6RoDdiN0wlVtu78Irr7/staublJKvv1jInm2HiNY0w5lnY/b0uVzf/nri4oqf01ZkYmNjeXVyie7XKj4gLCyM3SWkV0tOh+vaXPyYJTk5mWefHcNVLWsQFxfG1A/n0bTp9Xy1YJn/3E2FFo0I889YVQx1A6CiUs78d9yL6M7EUj8wBgLdi/eapVvpfNMabr75Zq/63Lp1K6sWrKFDxM0I4Vb0peYm88yTz7FwyQJfiq9SyWnfvj0ffaDnwNFMmjd0hzs+fCKLrQc0PP5Kp4u2nfTmKzw1rhutW7tjUwwc1JXXXv2WdevX0b1b9zKXHQDpRFF8FxekOqEeAahUaex2O8nJyTgcDp/2m5aWRlbW+eHALx+LxcLBvUeJDCywZhdCEGVozLcLFnvd76Kvl1Df2Cx/8QeoEViL1Ph00tLSrkhmFd9hsVhISUlBUZRyk0Gr1TL5/XlMW6LjibeO8tTbx3hvIbz57qfo9foLtsvNzSUzMyl/8Qf3/+4DgzuxevVyf4iej5ROr6/qjKoBUKmSSCn5aPoMvpi/EI00gMbBfx57iGHDh15RvwcOHGDs2PGcSckAJC1bNmfKB+9dWeTAEjSlAnfSH2+RyoXyjbjvjUr5Yrfbef+tV/hn88/UDIYUSwCjx75K9563lIs8cXFxzP50MWfOnEFKSVRU1CXbSClLVPP730VXguLbDX51QdUAqFRJFnz5FZ/NXkwNU0sizc0JN1zFh+99wurVq73uMzs7m2HDRpGRKggKiCMooA67dyXw0EOPeN2n2WymUbN6pOeezi+TUpJiO8J9g7wPPHPX/f2Jtx8sstinWc4QUTu0UrkBVlWmvvs60Wd/4POHDbw3yMiMBxx8OXU8Bw5cXpwMX1OzZs1SLf7gdvcNCqrJ7t3H8suklCz8ehM333xbWYlYDOkJBaxqAC4fVQOgUiWZ9+kX1AhpnK8C12i0RAQ2Ysb02fTq1curPleuXEleroaw0AKf9OCgCE4cO8Xhw4dp3Ni79Lxvvz+JEYMf5nhaEtiNOIzpdO3X3ms5AW688UZ6DujCT4t/JcwehVNvwx6SzZxpH3vdp4pvsNvt7Px9JZ8/FJT/BB0coOXhrpLFX83hpdffK2cJS88Lz7/Gc889wbXX1aJOnXA2rD9E3bqt6NG9h99kEEKHRpRdTIiqjLoBUKmSWCxWIo1Fzy8N+gDS00vv13w+iYmnkWiLlUupIT3d+0hkMTEx/PjLMv7880/OnDnDtddeS8OGDb3uD9xnsc+99F8GPTiQnTt3EhERQceOHS96pqviHywWC6EmirjdAcRGGEg77PeMsFdEbGwsn332bf7/7jPjH6JBgwZ+lUFKB4or2a9jVhXUDYBKlaRFi6Yc2Z1GcGDBk0FG1mm69G7vdZ9du3bm88++KVImpYLQOC4rUU9JaLVaOnfufEV9lETdunWpW7euz/tV8Z7Q0FByCSU9O4eI4IKv4N/25tG2k/dan/KirP53S42UoFRvf35vUW0AVKokL7/yIg5dEqlnE7DmZXPmbDy64EzGjX/K6z7btGlDx47XcTYzAYs1m5ycDM5mxzPm8f8QHBzsQ+lVqjJCCMb8dxLPfOPg933ZnEixMX99FutO1eOue3yb5bLaIJ3eX9UYVQOgUiVp0KABS3/4ji/mL2D/vn+5rk1HHhg8kPDw8Es3vgBCCD6aMY3Vq1fz/ZJlBAYFMnToEFq3bu1DyasOUkq2bNnCz8t/whwUyN33302jRo0u3bAa0KFDR6KnL2Xxwnn8vC+B1u17MOPOewgICChv0SodQujQampeuqJKMURVdAlq166d3L59e3mLoaJSbZFS8r8XXmbvr7toZmqIzWVnr/0Qj740hjvvVtPqVjeEEDuklO3Kou82rWvJ9b8M9Lp9SNSHZSZbRUfVAKioqPic3bt3s/vXv+gVdVO+pXt9V10+emsavfr0xmw2X6IHFZVSIiVU86Q+3qJuAFSuCEVR2LFjBzk5ObRt25aQkJDyFqnKY7fb2bZtG4qicP3112MymcpbpGJsWLue+tq4IoFi9FodtTQ12Lt3L9dff305Suc/XC4XO3fuLNXnIycnhx07dmAymWjXrh1abXGPE5WSUDcA3qJuAFS85vjx4zw07D84svTg0mPTpvHUM48yaLD36jiVi7N9+3Yee+xx8qxOpJQYjFqmTHmXrl27lrdoRQiLCMcq84qVW2VetdkkHj16lHEPjaGW3YQJHe86Uhkx7jHuvf++YnV/WLqMOW+/z1XGMPKki7c0dibPmk7Tpk3LQfLKh6jmWf28RbUBUPEKKSX9et+JLq0OwQHuMLguxcXx3E0sWPJJhTf2ysjI4LPPPmPz5s00adKEjh07snLlSjIyMujTpw92u51ff/2VmJgYevXqxdq1a0lISKB79+4MHjyYoKAgv8ucl5dHly434XKZ8v35XS4nipLDunVrK9TCmpGRwYDe99ArtCtBhkAATmYlcSg0nm9++M5/meLKCSkl9/W5gz66JkQHug1PHYqTz+I38sE3c4v4yicmJjLm7oE82agDRq37mSw5N4svMg+zaPXKcgit63vK1Abg2hj5++pRXrcPjH5DtQFQUbkcjh07Rnaqnbrmghj4Wo2WICWO7xct5Znnxl+yD0VRyMnJISgoyK9fcqmpqdx5552cOZOGyRTAhg2/8+6771O7dhwBAQEsX/4DIKhfvz6bNm1m5sxZ1KxZi4iIcP7++x++++47li5d6vdNwObNm7FaHAQGFbgcarU6cnKcbNiwgdtu81/41UsRHh7OmzPe5n/j/w9zthG7dBASF8a0GR9V+cUf4MiRI5hzJdGxBV4neo2O6wPq8ePSH3j86Sfzy39a8SOdAqPzF3+AWoEhRKdp2bt3L9dcc41fZa90SAeK41R5S1EpUTcAKl7hdDoRovgZpUbosNsvnphDSsm8eZ8z++NPcDklBqOOsU8/zn33FVeNlgUzZszgzJl0goNDUBSFrKxMhNCQlpZGREQ4drsdp9PFoUOHcDodCKElPT2dWrVqodcbSEg4xYIFC3jkEe9zAHiD0+ksMUGQlO73Khrt2rVjxW8rOX78OCaTidjY2PIWyW84HA60JYRZ0Wk0OOz2ImVOhxNtCRtgLaJC/l0rHhKh2gB4ReXXLamUC40bN0ZrdpBnz80vk1KSTQK339nvom0XLVrMB+/PwqStTXBAPXSyFhNfe5fffvutrMUGYP369ZjNZiyWXJKTkzxfsgKLJZfTp0/jdDqRUuB0KiiK25ArL89CcvJprFYrJlMAa9as8YushWnfvj1GoxaXq+C8U1EUAgK0dOnSxe/ylAaNRkPDhg2r1eIP0KxZM9J0NjJtBZ8PRSrssCTQ+/Zbi9Tt2acXm3OSi2zusmxWTigW9em/tCgu769qjLoBKGPS0tI4c+ZMeYvhczQaDR9Mf5vTcicnM/dyMv1fjub8wT1Dbr3kl9bHsz4hLKgOGo1bg6DV6ggyx/Lh1I/8ITrR0dEcO3aEY8eOkZqajt1uJy8vF6fTidVqxf09LAvlaJcoiovk5BSOHj1CfPxx6tSpU6YySilJTk4mIyMjvyw4OJhJkybgdGaSeTaVs2dTsdvP8tJLzxMZqSZDKU/O/5xrNBpem/IWC1K28lviHjYnHmDeiY10G3gbV111VZG2jRo1otewgXxw+E82JBxkdcJ+PkrYyUtvT0Knu3wlraIoJCYmkp2dfcXzqhRIqUYC9BL1CKCMSExMZMLEl1CUbLRaDTabnpdenHDFSV4qEtdeey2r163g119/JSsrmy5dOlO/fv1LtsvOziHQEFGkzKA3ceZMUhlJWpRGjRphtVrRag24Pa3cZ9LnFv5zr92/n3tfoNXqEEJgsVgv2zpbSsnKlSuZPXs2WVnZ9Ot3K4888kiJIYT37dvHk08+SVpaGlJCXFxtwsLCSUiIp1WrVsydO4cjR47gcrno2bNnqdO3qvieU6dO8fxTz5J5Mh0hITA6lElTJ1O/fn2uu+46vv1lOWvXrCE7K5uHu3ahXr16JfYz6j+P0Pu2fmxcv4EAcwDjevb0yqhz/W9r+ejN14nSukjLc9K0XUdemDCpQrqK+goh9Gh1tctbjEqJ6gVQBiiKwvDhAxj/3560bFkfgKNHk3j5paXM/3wRBoOh3GSrCAwZMozD+9Iwmwu+4DKzU+na/RqmfFD2qVD79r2VgwcPkZycgtPpwmazAFpA8VyCosoxCSjo9QEYDHqioqLo1KkDX3zxRanHnDJlCrNnz8FgMKHVasnNzaFhw/osW7asyP9DVlYWPXr0wG53YTAYyM3N5dixI+j1Rpo2bYrVasFo1LNo0aIK72lR1VEUhbt63UF7pSm1g2sBcDonlY2u3Xz/yw9+z7x45MgRXhn1AK+3r0uwUe/edB5O5nid63j17fJNMVymXgDXhMvfl3qffjiw8ZJq6wWgHgGUATt27KBZi8j8xR+gYcMYOnepz4YNG8pPsArC//73Ek6RxtmsFOyOPDIykzGY83jm2XF+GV+n0xEcHEzz5s2pWzcO94LvouCJ373gF/zuLtdoQEoXDof9sr7cs7Oz+fzz+ZjNQej1ejQaDcHBIZw4kcDPP/9cpO6PP/5ITo4lf1OQlHQKIXS4XC7sdjtmcyA2m5O33377Cu6Aii/YunUroTnG/MUfIDqoBjXzgvnjjz/8Ls+SBV8wqEEIwZ402EIIbm1ci3+3bSI3N/cSrSszUrUB8BJ1A1AGZGRkEBNTXH0XHR1CWnpqOUhUsWjatCnLli/i9ru6ElvPxP0P9GLZskXUru0fNd7QoQ+Sl+cOUqPXG3Av8BrcWgBBwRGAQsGRgEAILYoCp08ncfbsWaZNm8bJkycvOd6JEyeQkmLub1K6F5HCnD59msJaOYfDgUajKWLpHxAQwJ49e7yYuXc4HA5WrVrF669N5Kuvvubw4cPMnDGLN954k507d+ILLaLD4eCnVT/x5mtv8c3X35CTk+MDycuW9PR0AqWxWHmgYiQtLc3v8qQlnyYqqGgyISEEYQZtpbifXiNBKIrX16UQQtQRQvwmhNgvhNgrhCiWUlQIMVgI8Y/n2iSEuNZT3kwI8XehK0sIMdbzXmshxGZP+XYhxA0+vzeXQLUBKANat27N1wtn8ODQbvn+7VJKflt7kPHjRpazdBWD2rVr89pr/yuXse+55x62bt3K6tW/kJdnQQiBlMLzEwo2AYLCGgBFcaEoLqSUrF27nr179zNnzhwmTZp0UR/8mJgYhCjJfU+hWbNmRcq6devG3Lmf5r/WarU4nQpCiPxMcXa7nSZN/GNLYrFYGHj/EBITMtGJIDIyvyf5zEnqx12DwRDAku9WcXPvzrz11hte+/dbLBaGDRyO86SGCE0UO117mfvRPOZ+PafMjS2vhDZt2vCRMoUbpIJGFHzOT8iUcgl13L7HzWz88kPqhxfEp8jMs5OBgZo1q262PCEMCH1cWQ7hBMZLKXcKIYKBHUKIX6SU+wrVOQbcJKXMEEL0BWYD7aWU/wKt3XIKLXAK+N7T5m3gNSnlKiHEreFvMPkAACAASURBVJ7X3cpyIuejagDKgKioKDp27MXz/13A338fYc+e47z2yrfUr9+6ShkBVlY0Gg3Dhg2jTp06uFwuj1peUnAMcO7JHwrU/zpq1oxCq9Wi1xvz1fg6nYFXXnklX6NQEpGRkXTv3p3c3BykdD9xWCwWIiLC6d+/f5G6rVu35qabupKbm4PVaiU0NAyXy0GNGpFoNBocDgeK4uSZZ57x+X0piU/mfEri8WwiQxoQHBTJmbQUgvVNseZAeGgtaoQ05ZefNrJjxw6vx5j3yWdo4gO4JqwdtUPq0iL8WhrYr2LCy2/4cCa+Jzo6ml739+OHxI3EZyaSkHWaH5N+p/Md3albt67f5el3+x3sM0bxxZ6THE3P5s8TZ3hl60meePm1KhFN8EJIaUPaTnh9Xbp/mSSl3On5PRvYD9Q+r84mKeU5l53NQEk7kp7AESnluUElcE5VHAokXvbkrxBVA1BGjH74MbZvv4FVPy7D5XLRp8/D3NjxxvIWq8pjs9nYtWsXJpOJli1blvjFd+jQIQYPHoKiSCIja3Ly5CkURaLRaJFSg3vDryAE+eptrVbjeYp3awnCwsIA0Gi02Gx57N69u8SnvtTUVA4ePMiYMWOIiYlh0aLFOJ0ObrihLRMnTizmBSCEYNq0aaxdu5YlS5YQFBREvXr1WLx4MWfPZhIdXZOXXnqJdu38Y7O08sefCAtxf9dZLJloCUCvM2K1Fmx49CKMn1at9lqm1St+4arQotrPWkGxrN+z0nvB/cRTz4ylY9cbWfrNEhSXwtMDXqRjx47lIovBYGDG/K9Y9eMKlq9bQ2SzaN547cFSeeZUZoQE4aezfCFEfeA6YMtFqo0CVpVQPhD4utDrscDPQoh3cT+M+32BUDcAZUi7du389kWtAr/88gsvvPACNpsDISAiIpxPP/20mNZlypQpOBxOzOZAnE4nWq0Gl0siJeh0GpxODaBBp3O7/bkjG0pPgCCFgIBAwsMLQrxqNILAwMAiY0gpmTBhAosXL8HlUtBqNVx3XWvWr1+Xr8q/EBqNhptvvpmbb745v2zMmDFXfH+8ISg4iNQsO1qtDq1Wh8T9RVtY2+9yOa8oD0FgcCC2XCt6bYFhpSIVNNrKETL4hhtu4IYb/H58WyIGg4H+d91N/7vuLm9R/Ii8UmO+GkKIwm5js6WUs8+vJIQIAhYDY6WUWSV1JITojnsD0Pm8cgNwB/BCoeJHgaellIuFEAOAucDN+JGqqxdSqVakpKTwzDPP4nKB0WjCYDCRlnaWkSNHFgro4+bAgQMYDEbOnEnh+PFjKIqCXq9DCAVFcaHRaNBo3Gf+RqOBevXqYjKZCAwMIDQ0hDp1CtLc5uVZiYqqSYsWLYqMsXz5cr7+eiE6nQGTKQC93siWLduYNGmS3+6JLxj10DAycxOQUhJgCkanF1hsGYSGhQLgdDmQ2rPcc+9dXo/x4EOD2Zfzd/7xCMC/Z/fQ944+Vyy/SvVAKC6vLyBVStmu0FXS4q/HvfgvkFIuKVEGIVoBnwD9pZTnW4H2BXZKKZMLlQ0DzvX1HeD3XaS6AaigSCnLPA64P8a4EtxP3KWzMF+xYgVWa16RHOpGo5H09Az27t1bpG7Tpk05ePAAycnJWK02nE4nDocNKd0qfUVxejYCWqzWPOLjj5OXZ8dkMhMQYCYh4Tg2mxWHw0ZcXCzz5s0rZgD36afzMBhMRcrN5kBWrqz4au3C9OnTh6Ej7yU9dz9nc48THRNBYEQOxuAczuYew+I8xuR3J16RB0efPn3oO+xmfs9ezT/ZW/kj8xfqdK7J2GeLGVurqBRHGBDGul5fl+ze/SGeC+yXUr5/gTp1cS/mD0opD5ZQZRBF1f/gPvO/yfN7D+BQKWfsM9QjgAqGoijMnTGL5Qu/Q6coBESEM+6Vl2jnQ6tiRVGY+dHHfPPlIhQHRESF8vKEF8rFcrkk1q1bx4QJk8hIP4vRaODh0aMYMWL4Ra3MLRZLieVSuu0CChMcHILD4fTE1D9n5X/O1c+t/nf/LnC5HEipQQgNJlOA5zJx//0DGDRoEA0bNixRLqvVUsz+QAh3foHKhBCCp59+ilGjRnD8+HGio6OJiori2LFj5OTk0Lx58ysOeCOE4KlxTzLioeFFxlBRKRWKDWk9VpYjdAIeBHYLIf72lL0I1AWQUs4C/gdEAjM83wfOc8GFhBBm4Bbg/OxhDwNThRA6IA8YXZaTKAl1A1DB+HjadA4v/pn/1rsevVZLujWXN54Yz3tffeYzD4JpH0xnxbz1XBXcHa1ehyU9m7EPP8cXSz4pdy+Ff/75hyefeAazqRaBAbVRFBdT3p+JVqtl2LChF2zXp08fZs36GCll/oLscrkwmQy0atWqSN0NGzag1bp96xXl3OIvkVJBShdarQ4QnqMDgdFozLfA1+v1mEwm9uzZc9FIfHfffTcffDCVoKCCs/Hc3Fw6depwBXen/AgJCSlyHwvnsy+rMVRUSktp/Pm9RUr5OwXBQS5U5yHgoQu8Z8G9OSip37a+kNFb1COACoTL5WLVt0u4u25L9B5VdkRAIP3C67Pgk3k+GcPpdPLdV0tpHNIWrca9/zMbgomWzfl09uc+GeNKmDp1GnpdmCdAj1slHxxYizmz5160XePGjRk5cgR2ex5ZWZlkZ2ehKE4mT55cLPTymTMpSKnBaDRhMhnzn/o1GkHNmjXR6XTodDpiYmIwGg1oNO4NwrnjBYfDQXR09EXlGT58OC1bXo3VaiE7OwuLJZeaNSOZOHGi1/dGRUWlBKQaCdBbVA1ABSI3Nxez0BbLDV47OJxtx477ZAyLxYJO6vMDl5wjxBjB8aOX9okta44fP4HJWNSiXqvVkWuxFnm6L4lx48bRv39/fv75ZwIDA+nXrx81atQoVi8sLJzExGRPf+6FX1HcC3xkZE1PBj4NEREROBw20tIyCAsLQ6PR4HK50GgEo0dfXFtnMpmYNm0aL774Ips3b6ZBg3q89dZbl9w4qKioeIGsXEdrFQV1A1CBCA4OxmHUkWu3EWgoCDG6Jy2R6/p39dkYerMGuyMPg64gQ1iq9SS9O5W/K1PHjh34Yek6QkIKNGZ2ex4xMbVKFWmuUaNGPPbYYxet07dvH06fTiEzMxMppUdDINHptOh0Ij86nxCSmjVrUrt2rMdmwIHJZOTNNycWS+l6PklJSdx1112cPZuF2RzIsWPxDB48hE8+mVNhXMZUVKoEGgMaU/0r6OBiLv1VG3UDUIEQQjDmhf8y6/9e566opkQFBrMr9RSbRRZzhz7oszH++/J4Xn3mLerqriHIEMbp3BPYIlIYMuwBn4xxJTz++GOsWbOWzKxUggLDsOblIMnhlVc/8tkYTzzxBGvWrCEjIwiDwYDT6USv1/Hhh1Np0aIFUVFRSClJSUkhKCiIoKAgLBYLmZmZ1KpVq1RR1aZNm8bZs1kEBbkD/ZjNZhwOO6+++mql8wRQUanQKDak5Wh5S1EpqTYbALvdzm/rfuP48cM0btycm7rehE5X8abf4+ae1IiqyRez5pCceIJ2vW9kzsgR+ZHnfMEtvW6m1pdRzJ4+l1On9nDTXR0Z+fC7Ph3DW6Kjo1m2bAmzZn7Mli3baNf4WsaMebRYzPzSYLfbWbNmDQcOHKBVq1Z069YNrVZLdHQ0S5cu5YUXXmDz5s00atSIN998k2uuuSa/rRCiiLrebDZjNpsvOWZiYiI//vgjixcvxmAomihGrzeQmJh02fOozBw8eJBff1mD2RxAv9v6VemY9BUBKSV//fUX27duJLJGDL169y0WbbJKIqv3Wb63CF9k8qpotGvXTm7fXhDYKT09nbFjR3NDh9pcdXVt/v4rnj2705n6wcfV48NRDUlLS2PAgPtJSjqNy+VCp9NRv349vvlmITqdjiFDhnDgwEEcDgdarYbIyEi+/fYbYmJivB5z0aJFvPba69hsdpKTk7HZ8oiOjqFGDfeipyguTCYjmzb5P1VsefDeux+w8Ivv0SuRSFw4dWlMfm8CPXp0L2/RqiSKovDyC08hM7fRvbWepHQXP26B1yZ/SvPmzctVNiHEjnNucb6mbXOz3Dz38h8QzmHo/HeZyVbRqXiPwGXAzFlTGTrierp3d7sY3XTTNfywfAvzPpvDk0/4Jwe9in954403OHUqiaCggsxohw8fYfr06YSFhbFnz16CgkIwmdxhedPS0nnxxReZN887b4vMzEwmTnwDvd6I0RiAXm/gyJGjJCefJjQ0DK1Wi9VqZdy4sT6ZX0Xn4MGDLPzye2JDrsu33XA44/i/519l3e+dinlmqFw5a9b8SpB9G88+HJtf1rW1ldcmjGPegip87KQxIkxX4pb696WrVFGqhRvg7t07uOmmljgdTiwWCy6nkz5927J584byFk3FB5w6dYpdu3YVCQa0cePGYvH5g4KC+PHHlXz//fcEBBR9z2wO5K+/vP8i2LJlC3l5tnz7gICAAOrVq4sQGjIz0zEadTz//H8ZPHjwZc3jcpFScvToUf755x/sdrvX/VwJp06d4tNP56FxhBYx3NTrDOAws3v37nKRq6qzYc1S+ncpqtGMqxVAgEjnzJkz5SSVH1BsSMsRr6/qTLXQAAg0JCScREo7JpOBPKsdl6LFoFefQiozubm5PProo/zzz26klGi1Gh5//HFGjhyJTqf3JAUqWIAURWIymQgIMKMoZ4qEDT7X3ltMJlOx9sHBwdStW5d33pnM7bfffsG2OTk5PPbYY0Xm8cQTTzBixIjLkiE5OZlRo0aRkHASEBgMOiZOnEjv3r29mdJlk5OTw+OPPcWBvcfITLdwOuUkTqeDOrUKqZ81CiaT6cKdqHiNKSCQXGvxs/A8u8RoNJbQooogpd+yAVY1qoUGwBwYwtIlf1C/fk2io0OpW68GX85fS2Sk9+e9KuXP888/z7ZtO9HpDOj1RoTQ8e6777Ft2zbuvfceLJbc/LpSSqxWC0OHPsjIkSOw2fKK5BmwWHK59dZbvZalQ4cOBAUF4XAUPHU7nU4CAwPo0aPHRdu+8MILbNu2o8g83nnnXQrbsZSGhx56mKNHT6DXG9HrDTidkmef/S+nTp3yak6Xy4vPv8yRfzKJDryWRtHtqGm6moTEI5zNduc/ybVmEhimLZY4ScU39Os/mM9/yi4SbnrzngxCo5pfUbbGSoGieH9VY6qFBiA3N4szZ0w8/tg8mreIZc/uk8TERpGWfrq8RVPxErvdzsaNvxexzBdCIISWuXPn8uGHH3LkyBH++GMTiqKg0Wi48847GDx4MEIIdu3a5UnV687+17799bz44otey2MwGJg79xNGj36EnBz3xiMgwMT06dOKHUUUxmazeeZRUOfcPD755JNSp5M+ceIECQnxRe6HVqvFYsll0aJFPPVU2SbWycvLY/Om7cQEuyOb6vR64urE4Thh4dDJrdSr24jAUA2zP5lRKjdKlcundevWdOozhpFvzqRdcx1JaZJMZzRvvTelvEUrY2S1X8i9pVpsAEBhwhvDSUpKJz7+DPcNuIUaNUIYPvST8haszHA4HHw4ZTrLFq/A5VRo3rIpr0x4ibp1L539qjJw7nz7/OBAWq2WzMxMDAYDM2bMIDExkfj4eBo2bFgkwczLL7/MY489xqFDh4iNjfXJfWnZsiUbN25g9+7dKIpCq1atLulq6nA4LjiPrKwSU46XSG5uLiWFKxdCkJmZWep+vMXhcCDQFplHSEgITRo3QV8jgrfensjVV1+tLv5lzKDBw7ntjnvYt28fERERNGnSpLxFKns0RjBfOC/HpfnXZ6JUNqrFBqBFi2vZtGkfnTpdTWysO8LcqlXbuf76TuUsWdnx0vP/46/VR2kU3BWNTkv6rtMMG/gQy35aVCXUgUFBQcTF1ebEiZNFzjftdht33VWQmz42NpbY2NiSuiAyMpLIyGI5Oq4IrVZL69atS13/3Dzi408WiRtw/jwuRdOmTTEaDdjtrnzbhnP2BP369Sv9BLwkODiYWrERWFKyMJsK/r+ybKcZP3JkkRgLKmVLcHAw7du3L28x/IfLBjl+z6RbJagW2/FH//MUs2duYt6na9iy5QAfz1rNdwt3M3KE37Mv+oX09HT+WLuVuiHXoBGepEKB0eiza7Bs6fJyls53vP/++wQEGMjJySYnJxur1cJ11117WQtnReC9997DaCw8j1zatGnNnXfeWeo+dDodkydPRlGcZGdnkZOTjc1mpV+/W2nTpk0ZSl/AO++9SY44QsrZI6RnJXI6ax+Nr4nizjv7+2V8leqKmgzIW6qFBiAqKoo5cxaw+pef2bblMI0b9+Shkb2qrC9yUlISJk3xp/wATRiH/q3cbi8Wi4WvvvqKn376mZiYaD744AMOHTpEfHw8Xbt2pUuXLpVOzdysWTN+/fUXli5dekXz6NatG6tX/8ySJUvIyMigb9++tG7dulQ5FHxBs2bNWLV6GcuWLiMh/hRdbupE586dK8Xfw2KxsPCrhWz8ZQNR0VE8+PBQWrZsWd5iqZQCIUEoVS+gnT+oFpEAqxs5OTn07no7zUzdPalu3RzP3sXYiUO5/Y4Lu6RVZKxWK3fffQ9Hjx7DZApwnzsLyeTJb3HbbbeVt3gqlRSr1crQe4cQmhJIo5AGZNqy+Muym6cnjKdPv77lLV6VoCwjAbZrYpRbPvDeo0t32wk1EqBK1SEoKIhBw+9j4ewV1A1ohUFnIin7CIF1nPTu4x+f8LLg+++/59ix4wQHu7Uber0eRXExceJE+vbtW8SvX0WltHy/+HuCzgTQuqbbTiHYGERNcw0+eHMKvfr2rhQajGqNxgiBja+gg/JPg15eqBuAKsqYJx6lUZMGfDbnS5Izs+h73y2MenhEpT72WLduHXq9vkiZRqPNj71/IWM/X5OQkMD69esxmUzccssthIaG+mXcyoDdbmft2rUkJSVzww3tuOqqq/x2BOEtm9f/ST1zHMk5KZw4e5JAQwBNIxtjdBpITk6+ovwQKn5AyYPsg+UtRaVE3QBUUYQQ9O3bl759q44Ks169emzY8DtGY0EkOfcRlvTbIjxz5kxmzJiZH/b3jTcm8dFH07nxxhv9Mn5FJj4+ngcHj8CSpUW69MzQf0bHztfywdT3K/RTdO16tVm28nukTVLXEEeaks6mY1sJjA1WN3eVAYkaB8BLKu6nUkXlPIYNG0ZAgDHfd15KicWSQ69evS4abMdXHD16lBkzZmAwmAgNDSM4OAQpBWPHPp0vU3Vm/NPPIa1R1AxtTFREPWoGt2DTut2sWrWqvEW7KPUbN8ButXNTSCeaBDakdfA1tA24DqvNWqoU0CoVACm9v6ox5aIBEEI8DTyEe++2GxgBxAALgQhgJ/CglNIuhDAC84G2QBpwv5TyeHnIfbkkJCSwcsUqFKeL3v1607Bhw3KTRUrJjh072PDbRmpGR3H77f0ICwsrN3lsNhurV69m3759tG7dmh49ehRT759PXFwcc+bM4YUXXiA1NRUhBAMG3MdLL710xfKkpqayfPlyMjIy6NWrFy1btiymul61ahU2mwOjsWBR0Ol05OXlsXv3bp+62ymKwvHjxzGZTH472rgQLpeL9evXs23bDho3bsStt/YlICCgSJ2cnBxOHD9JjcCi/v5BATF8980Sv8Qi8JZtv2+lc8MbsZy1ojgVJJJaNaKI0UeTmppKjRo1Lto+Pj6eVStWIhVJ7359aNDgSjLTqVw2GiMEXUnAo0SfiVLZ8PsGQAhRG3gSuEpKaRVCfAsMBG4FpkgpFwohZgGjgJmenxlSysZCiIHAZOB+f8t9uSz+bjEfTZpBHdEAIQSLPl3CA48OZNToUX6XRVEUnnz8aXb9cRizEoUDK7M+/ISZc6fSqlUrv8uTmprKffcNIDk5xROm9wvq1avDt99+S3Bw8EXbtmvXjtWrV2OxWDAYDJfcNJSGP/74gzFjHsdqzQNg3rzP6N//DiZOnFhkE3CxhCqXivh3OWzfvp2xY8fmhxSuV68uH3/8MdHR0T4bo7RYrVYGPzCUE8dSEEoACiuZ+sF0Fn7zZZGNiUajoSSPIqkoFd7uRG/QozFJajeJ9fw/ChCCv1P3XNKw9LuF3/LJO7NpoquPBsHSeUsYNGYIw0YO85P0Kih5kFV9o/ldCeV1BKADAoQQOsAMJAE9gEWe9z8HzkVB6e95jef9nqKCWxVlZmYyffJH3BRxC00jm9MkohndIm/hq1lfk5SU5Hd51q5dy98bj9Ag+HpqhdYjLrQ5saItzz79Yolf2mXNhAkTOH06GbM5kKCgYMzmQI4dO8GHH35YqvZCCAIDA32y+LtcLsaPfwbQEBwcQnBwCEZjAMuWLeOvv/4qUrdfv36YTEaUQueNdrud0NAQn/mMZ2RkMHr0aHJyLOh0BnQ6A4cOHWXEiJHl8rf6dO48jh1OJTy4HmGhUUSE1sGWY+bl/3u1SD2z2Uyr1leR6Un8A26tU7btJEOGDvKz1JfHvYPvY69lPwoKGq0GhOBU1imiG8USHh5+wXYZGRnMfncWt0X15OoazWhRoym3RfXky4/mk5KS4scZVHPO2QCoyYAuG79vAKSUp4B3gXjcC38msAM4K6V0eqqdBGp7fq8NJHjaOj31fRu/1cds3bqVmko0Ok3BU6FGaIhSYtm4caPf5flh6Soi9fWKlAUYgrCcdXL6tP8TIv35559Fkt8ABAYG8tNPP/ldloMHD2K1Wos8wQshcDoVVqxYUaRuTEwMb7wxESldWK255OVZCQ4OZO7cuT4zcluxYgW5uVZ0uoLNjdlsJjExkX//9f9Tzg8//EhYcFEr+OCgCHbt2l2s7jvvvkWNOEjL+ZfUzCOcydnNoAf706VLF3+J6xVt27bl9pH9WXlmNdtTd7IxbRNHQk4weerki7bbsmULcaLo51yr0VJPxPDHH3+UtdgqhVGk91c1pjyOAMJxP9U3AM4C3wElmaqf+8uU9LRf7K8mhBgNjAbKPeGN2WzGqXEWK3cJp1+M1c4nODgQh6t4YhlFOsslN7tOp8PpdBRRryuKxGQKuEirssFsNpfopialLPE44vbbb6dHjx7s2LEDk8lEmzZtfKr+T0tLK9EuSVFkicmBdu3axYQJE4mPjyc0NIxx48b61PMjwGzGctaBVlswRykl2hI2PBERESxdvoi9e/eSkpLCNddcQ82aNX0mS1nyn8f/w4AHBrBr1y4iIyO55pprLum+aDabcYjin3OHcKnGg35FgqzeT/LeUh5HADcDx6SUZ6SUDmAJcCMQ5jkSAIijwDLjJFAHwPN+KJB+fqdSytlSynZSynbl/aVzww03kGPKJMtWkIXNYs/ljP403bp187s8g4bcT7o8iqtQ3OvUnJM0blHvoirOsmLAgAFYrbn5r6WUWK0Whg0b6ndZ6tWrR1xcbaxWS36ZorgwGg3cc889JbYJDAyka9eu3HDDDT5d/AF69uyJwaArou5XFAWDQVfsmOHgwYMMHTqcQ4fiARNpadmMH/8cy5f7Lt/DyJHDyLIkFpHnbFYi/W4veZMhhKBly5b06NGj0iz+54iIiKB79+60atWqVLELOnTowBl9Bpl5BRuzbFsOidqUCq/1qFJoTBDczPurGlMeXgDxQAchhBmwAj2B7cBvwL24PQGGAcs89Zd7Xv/peX+trODxi/V6PR9+MpWxjzyNKdOMQJCjz+KdGW+Xiwbg6quv5qnnRzPtvVkYlTBcIo/ohuFMmTbd77IAjBkzhmPHjrFu3XqkBCHg3nvv5oEHHigXeWbPns2oUaNITExCSonBoOfNNyeViyapZcuW9Ot3KytW/IiiSBRFYjDoePXVV4o9VU6Z8gEulwaz2a3F0en0BAQE8/77U7jjjjt8Is9tt/Vj7559LPpuKQIjEgfXd2zFc88965P+KzMGg4Epc6byzKPjCU4LcKde1uXwzqz3VA2AP3HlQeaB8paiUlIuuQCEEK/htuR3An/hdgmsTYEb4F/AECmlTQhhAr4ArsP95D9QSnn0Yv1XlFwAiqKwb98+FEXh6quvLvdQtRaLhf379xMeHl6uLonnOH36NCdPnqR+/fqXdLXyNVlZWXz11Vds2rSJZs2a0aFDBxYsWEBqahoPPjiEu+66y+dP96VFSsm2bdtYunQpQUFBDBw4sMS/V/fuPcnJcRR7WnU6c9m507f//+np6Rw9erRYemWbzcb33y/l19VrqRVdi+EjHqweOegLoSgKe/fuRUpZIT7nFZEyzQXQUCe3TPA+xbluSEa1zQWgJgNSqXakp6dz1113cfp0CkajkdTUNNLTU6lduzZmcyBOp4O2bdswf/78Ch3BbuzYp1m9ej1BQQW2Ck6ng4iIIH79dXWZj2+z2Rh0/xASj+YSZKqFzZ6LVSby9pQJ9OjRvczHV6k8lOUGoG0DndzyuvcbAP3Qi28AhBB1cMeiiQYUYLaUcup5dQQwFbc7uwUYLqXc6XnPhTveDUC8lPKOQm0mAvcBLmCmlLJ0rlA+ouJ+u6molBEzZ87k9OkUgoND0OsNZGZmAlrS0tIxGk0EBgazc+ffbNiwobxFvShjxz6FyaTBYslBSonNlofNlsOLLz7vl/GXLl3GqaO5RIU1wWwKITwkhpqBLXntfxOLuEqqqJQ5ZesF4ATGSylbAB2AMUKIq86r0xdo4rlG445hcw6rlLK15yp8Njcct31bc0/fC72bvPeouQBKwGazsXHjRrKzs2nfvr1fIrHFx8ezfft2IiIi6NSpk0983CsTWVlZ/P7777hcLjp37lymxolr164lMDAIgLw8m9uqXavFbrfl15FSsmbNmnIx2iwt9evXZ9Gib3n77XfYvXsPDRrUZ9y4p+nQoUOp2qekpPDnn39iMpno0qXLZZ9br/11PUHGqCJlep0Ru0WoSXRU/IfWBKHNr6CDzRd9V0qZhNtlHSllthBiP+4j632FqvUH5nvs0zYL1gIBcgAAIABJREFUIcKEEDGethfiUeABKd0uDFJKvwePUDcA53HgwAGeefhxGimhBKBnnuNDbhs2gNFjHi2T8aSUvD3pHX5atIYwRxQuvZ1JwZOZPX8m9evXL5MxKxq//fYb48aNw2KxIiUEBJiYOHECt99+e5mMFx0dTUpKGkajEZ3OfV4rpSyi7pdSEhcXVybj+5KGDRsya9bMS1c8j88/n8+U96fhsOvQaMBkhlmzptO2bdtS9xFbO4a923YRGFCQMEdKiSLthIR4r5JVUbksnHmQcUVGgDWEEIXPjGdLKWeXVFEIUR+3PdqW897Kj1fj4VwsmyTA5OnfCbwlpVzqqdMIuF8IcRdwBnhSSnnoSiZyuahHAIWQUvLiE+P/n73zDo+qaPvwPVuzJcmmJ/QaehUBKQqigIoFVEQERGxUK36gYi+AdFFBVFBEQREpFlRU6ouC9F5CkU56Nm37fH9sKBEIsMnukuTc13UuYHJm5neWkz1znnkK91ua0rliE9pXrM/jVW9i2RcL2LVr1+UH8IF169bx+7eraR1+C/VimtDQcj017E0YPuz//DLftUZeXl5BJj41oaHhhIWFo1ZrGTXqFdLTL4j2LBGGDRuG2+3E4/Gg1WoJCQnB7XYSGenNL+V0OjAaDZcMAyztHDlyhIkTpmI2ViQqMoEISwIaEcmwoc/gcl0Y134p+j38EHZxEofTm0JZSkma9V/ad7ghKNEuCuUYTzEOSD0TQl5wXOrhbwYWAM9IKf+blKOofDVVCnwMegOThRA1C9r1gK3gZ58AM6/2souLsgA4jwMHDhCaL4g2nHt7UQkVLUxV+XnRD36Z8/tvFlFVV7uQJ3ekMZrMk9lXnE40JSWF06dPX/7Ea5C///6b/HxbIc9plUpFfr6NlStX+mXO1q1b89Zbb6LTqXG7nVSpUommTRsTEWHB5XIQHR3FrFkz/RKZkJGRwYkTJ4KS1vcMP/74Ex6XrpDFQ6vVY7N52L79wgx/l6J69epMfH80dt0hUvJ2cDpvM+071+edd9/0h2wFhUsji3FcAUIILd6H/1dSyu8vcsrZfDUFnM1lI6U88+dBYAVeC8KZPgsK/r4QCHhhFmUL4DxUKhWei94REpWfyg+oVKpL3oOXS0Zy/Phxnh7yPCePpKESKsJjjLz/0YRrIsTvShFCcKnL9KcH/r333ss999xDWloaFosFnU5Hbm4u+fn5REVFXVEimKshKyuLp556iq1btwGCsLBQJkwYz/XXX1+i81wJl/pcBeKqP/P27dvz54pfSU1NxWQyKfHvCoFHHQIW//kAFHjrfwbsllJOvMRpS4ChQoh5QCsgS0p5siDzbV5BSHs00BZ4r6DPIrw1cGYCNwH7inERPqEsAM6jevXq5JtUJOdlEmv0lsp1Sw/rc//l3R4j/DLnvb268+LvrxMr4xHC++WblptMZCVLkZnUPB4Pj/R9En1mFaobvdmsclIzGND3SX5b/tM1X4HtDK1bt8ZoNOByuc7G3bvdbkwmAzfddJNf51ar1cTGnnNiM5lMfjNdDxw4kK1bd5x1PrRac3niiSf49ddfC2kIBN263cH0aZ8WVL7z3nMOhw2D6cJsg1eCEKLUZf1TKEO4bJDu10RAbYG+wHYhxJaCtpeAKgBSyunAz3hDAJPwhgE+UnBePeBjIYQHr8V9jJTyzH7yGOArIcSzQA7efDgBRVkAnIcQgjEfTuK5x4ZQOdOEEQ17nCnc/2Q/6tTxT8rI66+/nm79urBozg9EuGNxahy4w/P55IPpRfbbsGED9gwVsaZzX7zmkAjSs8ysWrWKW265xS96SxqDwcCUKVN46qmnyc31hrMZDCGMGTMGi8USbHklwokTJ9i9e8/Zhz94s0VarXksWLCAQYP842B6KSpVqsTIF4fz3tgJOB1qVGqBwSiYNm26ksRGoVQipf8KxEop13DxPf7zz5HAkIu0rwUaXaJPJnBHSWj0lTK5ADiwdy8jhgxh0AsvXLUnfa1atViw7Ef+/vtvsrOzGdGypd+z1D3z/FP0eqgnmzZtIiIigpYtW172izgzMxPhuvAtX7h0pKWlXdB+4sQJxo2dyIZ/NmE2m3jsif70uLdHiZu6faFt27asXr2Kv/76C7fbTZs2bTCbzZfvWErIzMy8aLtKpQ5KeWiAXr0eoEuXzqxbt46QkBDatGlTaqxGCgoXoKSd8IkyuQCoZDDQNjWF5x9+mA/mzbvqeGStVhvwYh7x8fHcfvvtV3x+06ZNsWnSkFKefYhLKXHo02jZsmWhczMzM+l1f19kbhSW0Ia4chyMfuNDTp9KYfDQgSV6Hb5iNBrp1KlTsGX4hVq1aqFWqwuZ3AFUKujcuXPQdEVERNC1a9egza+gUCJIwBP8F5nSSJmNAqgfE809kRHMnTUr2FL8QmxsLH0G3M8B61rSc06SkXuaQ9nrub17R6pXr17o3Hlzv8GZbSIiLAEhBFqNngRLA2Z/8TV2u/0SMyiUFDqdjldffQWHI5+cnGzy8/PIzc2mdeuWtGnTJtjyFBRKN5oCJ0Bfj3JMmbQAnKFuVCR/7dwZbBl+Y+iwwbRp25pv5i7A43Zzb8/XadWq1QXnbd2yA6M+slCbECpUUk9qqjcHvoJ/ufvuu6lXrx5z5swhPT2du+66i06dOl3TtQYULk56ejoLvpnPgd37aXBdE7rf271MbVmVOlw2ZPreYKsolZTpBcDetHRqtijbRZ6aN29O8+bNizynUeMGbPlr6YUZ24Qj4FX4yjOJiYm8+aYSI1+aOXLkCIN6D6AxFahojGLLpqV898VcZs7/kqioqGDLK6cIZQvAR8rs68ee1DQWpqXz4CMDgi0l6DzY+wE05mwysk8hpcTpsnMqcyd9+j2AXq8PtjwFhVLD+DdHc3NIPVrE1aFCaDRt4hrQzJXAjKkfBVta+UUCUvh+lGPKpAXgWH4+KyMiGffu6IAU8rnWiYiIYN78L3lvzAQ2btiM2WzihacHcn/P+4ItTUGhVJG0ax83JdxcqK1BdDXmrFobJEUKaEIgojh7+SklJqW0USYXADXr1GHctKsvkFKWqVixIlOmXiqJlYKCwpWg1euwu53o1eeqdWY78gkLDy+il4JfcdmQaYoPgC+U2S0ABQUFhZKmR5+eLD+1FY+3gitu6eH35C30fvzhICsr53iE70c5pkxaABQCS15eHjabjYiIiMsmFsrMzESr1SrV4hRKJX0feZi0lFRmLVxKpNZMmiuH+x/tTdfblHwKQUPJA+AzygJAwWdycnIYMWIka9f+BQiioyOZMGE8jRtfWNRq3759PPPMc5w8eRIpJc2aNWXSpIllJt2vQvlApVLx3MgXGPjUEFJSUoiPj1ccaYOO8Gsq4LKMsgBQ8JmhQ4exfv0WzGZv+eSUFCuPPPIov/32S6GQqJycHPr06YfdLtHrvfHS69dv5tFHH2PBgu+Col1BoTgYjUaqVq0abBkKAJoQRFRxnACDk477WkBZACj4xKlTp9iyZdvZhz+ATqcnOzuT7777jieffPJs+9KlS8nOzic09NzbvskURlLSIZKSkqhVq1ZAtSsoKJQhXDZkSsAr6ZYJFCdABZ9IT0/nYgWyVCo1x44dK9R2/PhxvMWyCuPxSFJTU/0lsUzicrmYMeMTbunUhZtvvpUPPvgIh8MRbFkKCkFDSpAe4fNRnlEWAAo+UbNmTdRqgcfz3zJcHjp06FCopX379mi1hasbSinRaKB+/fr+FVrGGDJkGFOnfEZejg5broHpH81mwIDHLrrAUlAoNyiJgHxCWQAo+IRer2fEiBfIz88iNzcHu91GdnYGjRvXv2AB0Lx5c2644XqyszOw2fLJy8slLy+LgQOfJCws7OITKFxAUlIS69dtxhKegFqtQa1WE2FJYOeO/Wzbti3Y8hQUgoTvb//l3QKg+ACUE44fP87od8ayafM2TCYjAx7tR69eD1w2bK8oevbsSUREBG+99TaZmVn07duL4cOHo1YXftsXQjBt2jSWLl3KggXfYzKZaNasKUsW/8DMmV9QpUplXnppJM2aNSvuZfqEx+Nh1qxZzJ79JXa7nTZt2vDiiyOJiYkJih4pJRs3bmTx4h8wm8307Hkf1atXZ9++fTgdAoyFz7fle9i7dy9NmjQJil4FhWAiNHpU0XWKMcKREtNS2lAWAOWA9PR0Hri/D+58C2Hm2rjznIx7dxqpKakMe2qoz+P+/vvvDB8+AqdDhUqlZ+7cBZw8eZr33598wcJCrVbTrVs3unXrxurVqxk0aCharRmdLoT9+4/ycL8BfPX1bBo1alTcy71qXnvtNb77biEGgxmVSsXSpb+xceNGli79GaPRePkBShApJaNGvcKSJUtB6pEeN19/NY/X3xhFYmIiWt2FffQhKqpVqxZQnQoK1wrSaceTsj/YMkolyhZAOWDu1/Ow54QQHhqDEAKNRkeMJZE5X87Dbrf7NKbL5eLll19Bp7UQFhaJ2RyOyRjF8uWrWb9+fZF9x4wZi04Xik7njZ/W60MQKj1jx47zSUtxyMzM5IcffsJkCkOtViOEwGwOIyUljR9++CHgenbt2sUPS37BbIwl1GwhLCwKQ0g077w9hurVq5OYWI0sazJSSqSUZFlTqFI1jhZlvOqlgkJRKFsAvqEsAALIqVOnWLFiBfv3B3a1un37Lgz6wrnKhRAIqfXZC3///v04HB7U6v8YkaSWn39eWmTf5OQUtP95lQ0JMXLo0CGftBSHMxELF26FqNixY8dVj+d0Olm3bh1r1671yTt/2bLfcbtUhfSoVGpcLtixYwezPv+MHvd2xuVJwelOpttdHZgzZzYqVfF/lQ8dOsSKFSs4fvx4scdSUAgkUgqfj/KMsgUQADweD2+99jbLf1qD2R2FXZNDhcRoPvr0g4CkxG3atBEb1i7EaDjncCelB49w+rzPHRoaijcHZ2HcbheRkZFF9k2Ij+fosdSzFgCA/Pw8mjUrTjIP36hcuTLgfZsuvAjwXPWe+qZNmxg8eCj5eS6klISEqJk4aTzt2rW74jEiIyO42OcqhPczNxqNvP7Ga7z+xmtXpa0o7HY7QwY9zY4t+xBuAx51Hu1uup73xo++wJ9DQeGaQxNSTB+AgyUmpbShWAACwJLFP/C/RZtpbu5EHUszGpvbk7tbzei3xgZk/l4PPoAh3EGm9TRSSpxOO8mZ++jfvw863UU2la+ASpUqUaN6FXJzrWfbXG4X+hDB/fcXXWb4xZdG4nR6IwcAbLY8wMaIEf/nk5biEB4eTo8e3cnNteJ2u5FSkpOTRVxcDHfccccVj2O32xk0cAguRwhGQyQmYxTSY+Lpp54jOzv7isfp1q0beoPA6TpnPcjLyyYuPpq6df2zQJoy6X12bThBvLkJceGJJJibsub37Xw5e45f5lNQKFGcdjzJ+30+yjPKAiAAzJv9LTXNjQq9YVYJq8XKZasDEr9tsVj4dv5XtOlYm1x3ErqwdF5981kGDX7y8p2L4OMZ00msUxm7IwO7IwuNxsbkyeOpUKFCkf1uuOEGZs78hFq1KiJlHvXr1+Drr+cELSfAqFGjeOmlEUREmNFqoXv3u1iw4DsMBsMVj/H333+Tl+cqtLWh0WjJz3ezatWqKx4nMjKS6dM/QKd3YLOnk29PpUq1KGbO/KRYERtFsWTxUqLDqxdqiw6twbyv5/tlvmAipSQvL+9s/gqXy4XNZguyqpInLy8Pt9sdbBkBQ/EB8A1lCyAAOBxO1Kr/ftSCQOZuSUhIYOKk8SU6ZnR0NAsWzOfEiRPk5OQUJAe6vMlYSsmePXs5duwELpfkyJFj7N+fRMOGDUtU35WiUqno27cvffv29XkMh8OBx3Phf6iU8qp9AVq2bMnq1StISkrCYDAUbFP4D4/bjdD8J2pDpcbmdPl13kCz7NdlTB49CU+eG5t0EBYZSnZaNmrUxFSO4fWxb5CYmBhsmcVi0+ZNTJ36HmAjN9dB27adGDzoKbRabbCl+Q0J5X4v31cUC0AAuOu+OzicvadQ2+nsYzRt0chvb3WBpEKFCiQmJl7xfvHChQt5b+xkhCcUgy4at8PIK6PeZOXKlX5W6j9at26NTg8ez7m3Lo/Hg04vaN++/VWPp1KpSExM9PvDH6D9TW1ItxZO35ySdZhud93m97kDxYYNGxg/chw3atvQNepW5GkX7s0O2opWdIvpSq306gx9eAiZmZnBluozR48eZeLE13hn9F18OvNJvpo7BJP5JJOnBD66JqBIAR6V70c5pnxffYDo/dCDxDQysD1rLYfT97InayPpEYd49e1RwZYWFD78cDomQxQqlXfBoFarMegjmDJ5apCV+U5oaChvvfU6dkc6mVkpZGamYLOnMnLkC0RHRwdbXpG8+PIIQhMcnMraTXLGv5yy7qJibSNPDnw82NJKjE+nfkLLsOaEaEKw2q3k5uXRKLQBGWkZAEQZI6nsqsCSRUuCrNR3vl/4LY882o64uAjAu4js/8jNbN68lry8vCCr8x9Cq0cVW9vnozyjbAEEAJ1Ox8w5n7Jx40a2bt5K5aqV6dixY5k2yxVFtjUbraZwpIBWqyc5OSVIigqTkZHBxx/PYNmyP4iNjWHIkEFX5MnfrVs3WrVqxbJly3C5XHTu3Jn4+PgAKC4eFouFH35ayOrVq9m//wANG9anVatWxQ4tzM/PZ/bnX/LDwqUYjQb6DniQbnd2C4rV68TxEySG1AAgx5FLqCoUIQQe97laFuGacI79e+xSQ1zznDp1jDvubFyoTQhBXFw4Vqs14EmtAoV02nGfSgq2jFKJsgAIEEIIWrRooSRsAWrVrsmenUcxGMxn23Jys+hw8/VBVFWgIyeHHj3u4/QpK6HmCDLSjjHwyWG8PGoEDz7Y67L9Y2Ji6N27dwCUlixqtZoOHTpcUMfBVzweD/0fepSMfVDR3BhXhoPxL81g5/bdjHw58NEe17dpycFfD1M7sibRxihSXak43c5Ci/DjrpPc3vaugGsrKZo0uZ7/rdlC9ernFp15eTZOnrQSGxsbRGX+x58+AEKImUA3IFlKeYGjkhAiHJgDVMH7TB0vpZwlhKgKfA+oAS0wVUo5vaDPL0BCwfmrgSFSyoB7bSpbAAoB57XXXgF1PtbsDFwuJ1nZ6RhMkhdeeD7Y0pg/fz4pp62Eh0WhUqnQ6w2YjDFMmjQFp9MZbHmlhtWrV5N6IJ9q4Q3QqnUYdGYSw1rx44JfC0pJB5Ynhz5JkvYge9L24XS7qBhZiaUZy9BYNGTbc9iQsgl99RA6duwYcG0lxV133sPyP/5l/rdrSEuzsn37IYY/9yWPPDK4RBJFXbNI/O0D8DnQtYifDwF2SSmbAB2ACUIIHXASaCOlbAq0AkYKIc6ESPUsOL8hEAPc78ulF5cyfFeUDFJK1q9fz6SxE5j9+WwyMjKCLanUU6dOHRYt+o47776ZCpVDeaDXHSxe/H1AHN4ux9q1f6HVFg7/k1KSkpzGq6++xpo1ay5SArl8kZyczCczPmPc2Als27btoqGsmzZsxeiOKtQmhMDgiSQpKfDm2tjYWOYs+ora99Zht2Uf19/Xktc/fRNHU8n+6IN0ffoOPvny01Kd+MhoNPLBB59hy6/Bm6//xvff/cuQwa/TpXPZcea8OP6tBiilXAUUtWqVQKjw7m2ZC851SSkdUsozudb1nPe8lVKeSaCiAXRcLPtXABBlsY54ixYt5IYNG4o9jsfj4bmhz3Lsn8NU1VQk153HAXGU8TMmKpXXyijjxo3j81nzCQv1+ijY7DYOHjyEw5lJ9Wp10Wg8NG5Sl1mzZpZLH47Vq9fwwlOjMDoroBY6csVJbu7Wmrfeeb3Q3v7iRYv58NWvqRZaeE96T95qvv7hUypVqhRo6QpBRAixUUrpl/3PZpUi5IqhvltuLC8u/Bc4Pyf6DCnljPPPEUJUA368xBZAKLAEqAuEAg9IKX8q+Fll4CegFvCClPLD8/r9CrQElgJ9g7EFoPgAFMGff/7JqfVH6RR3zgGshr0qrz4/ikXLlpSJED6FwvTr149v5n2HzZZHSIiRI0eO4nTmERMdjyXc+0a7efNuFi1axP33B8VqFzRcLhcvv/AaVfWt0Zq8aZylrMLyn9ax+b7NNG/e/Oy5Xbp2YerEaaRmnSDaXAEpPRzN3ke9ljWVh79CiSKddtwni2VVSi3m4qQLsAW4GagJLBNCrJZSWqWUR4HGBab/RUKI76SUpwGklF2EECHAVwV9lxXnInxB2QIogt+W/EKisUahtlC9GZEjOXnyZJBUwcmTJ1m/fj0pKdeG13ywOXz4MOvXr8dqtV7+5MsQFxfHV1/PplbtePJsKdjtqcTFxVKxwrn7IEQXysKFi4s9l694PB62bdvGli1bAprtbd++faicJrSaczUchBCYZQV++em3QueGhITw5TeziLlOsj1/Gbscf9KmRx2mfDghYHoVLsThcLBx40Z27doVkCykAUGC9Kh8PkqAR4DvpZck4BBea8A5iVKeAHYC7f/TbsNrPbi7JIRcLYoFoAjMYaHkuC+slufwOAkJCQm4HqfTyf89N5J/1mwjhHDyyeTm29ryxtuvlW0nn0tgtVp58olB7Nt7CKQaqXLw+OOPMGjQwGKNW6dOHeZ/9y12u53WrdsRoosuZO1xe9yEhYUVMYL/2LlzJ4MHPoUt17tpqAtxM/n98QGJLjEajbi50BHSLR2YQ80XtCckJPDxzI/8rkvhylix4k8++uhdGjeOJjfHydFjLt59dypVqlQJtrRiE+RMgEeATsBqIUQcUAc4KISoBKRJKfOFEBFAW2CiEMIMhEopTwohNMDteCMBAo6yACiC+3rfz/NLn6aypwKaglS+h7L+pVLdKpeteOcPpn04na0rjpIYdiPgdU5btWQTX9ebS5++DwVcT7B5ceTL7Nl1krBQr0lZSsm0j2bSrFlTWrduXezx9Xo9bdu0ZuXKfwg1RxbM4cHlzmHAgP7FHv9qcTgcPPHYYHSyMhFmb0y3w2ljyOBnWb7iV7/HeVerVo3oCmYyjyVjMXnDylxuJznqY/S47x6/zq1QPJKTk/n443d5f0pnzGavBefAgRReemkYX365qFRvZwptCJr4WsUYYUvR4wsxF693f7QQ4hjwGt6wPgrC+t4CPhdCbAcEMEJKmSqEuBVvRIAsaB8vpdxesEhYIoTQ4w0R/BOYXowL8BllAVAE9evX59ERT/LxhGnEiEjyZD5hVSxMnvx+UPQsnP8DVcw3nP23EIIq5obM/XJ+uVsA2O12/vp7PaHmc28vQgj0mkhmzvyiRBYAAGPGjmbgwMHs3LkHpAqhcvPMM0No2bJliYx/Nfz999848rSEhp970Ou0IVhz9axcuZLbbvO/t/dHM97nyceGcuTUv6ikFqcmmzfGvKTs61/j/PLLT3S/p+bZhz9AzZoxVK6kYffu3UErxFUSSKcN18kD/htfygcv8/MTQOeLtC8DGl+k/TQQ/KQnKAuAy3Jfz/u448472LNnDxEREVSrVi1oWtwuN6r/hCmphQa7zX6JHmUXl8uFkOKCNxe1WkNebsmlPTWbzcyZM5ujR4+SkpJCYmIiZvOF5u5AYLPZLmrq9LhFwFK9JiQksPjH7zhw4AA5OTnUr1/f55LSCoHDlp9HZMSFX/cms7YMVENUqvr5SvnbOPYBg8FAs2bNgvrwB2jdriXJOUcKtZ3IPkCnLqU3eYmvmEwmKlWuQL4tp1B7nj2De7qXfDa3ypUr07x586A9/MFbJRB1buGCQ9KD0OZeUarikkIIQa1atWjatKny8C8l3HhTJ35eeqiQ4192to1t29KCVoWzxJBeHwBfj/KMYgEoRYx4aTgPbXmYwylZhMgw8kUGYVUFQ58aFGxpQWHipHH0eag/mVnZgAaV2kGz5oncc09QHGr9jsViYcRLzzH6nYmo3OEAeFRZDH36ceLi4oKsTuFapm7dutSvfwsjRv7GbV2rkZvrZNHigwwZMqrUL+K85YCVd1lfUBIBlTIcDge//baM/XuSaNikPh07dkSjKb/ruJycHH7++WeOHj1O27Y30LJlyzIfEXHs2DF+/PEnPG4Pt99xW9AtUwqlhz179rBq5R8YjCa6dLk9YDUC/JkIqGmFSPn741187h/z5jy/abvWURYACgoKCgp+xZ8LgCYxJvnrPb5vYyR8ur7cLgDK76ujgoKCgkIZQNnL9xVlAXARsrKy+GXpL1gzrdzY8UYcDgd/rVlLdEwMnbt2DqojmMK1zalTp/jll19wuz107dqFihUrBluSgkLZRgY9EVCpRVkA/IcNGzbw4pARVPNURIeWSW+MJ0JnoXlcY/LJZ/qEj5gycyr16tULtlSFa4yFCxfx5hvv4nJ4Y62nvj+d4S88TZ8+5StHg4JCoFHCAH1DWQCch8fj4dXnR9E5rD1mnYl9aQdIcMfQVF2fCqaKGI1Gatqq8fIzL7Lgl4WlOnuWQslitVp5+60xmA2VUZm8uRo8Hg8Txk+hc+dbA+ZspaBQ7tDq0VSoWYwB/ioxKaUNZQFwHklJSZgcIZjNJgD2JidRz1iTEKHHmmXFaDRiCQnHnerk9OnTxMfHB1mxwrXCunXrcDo0qAznEjWpVCqcDi2rV6/m3nvvDaI6BYWyi3TacR4/FGwZpRJlAXAeer0el8d19t8atQan24VEIlTn3vadHmepj51VKFn0ej0Xiz5UqbyJpBQUFPyEFKBsAfhE2Q6YvkqqVKmCNiaEUznJADSKr8/WnN3kefKxWCwAHLUeJ75WxaAUA1K4dmndujUhBnA4zqVVdboc6PRubrzxxiAqU1Ao+yiZAH1DsQCchxCCidMnM+zRIexOTUIv9ORbnPxPtYX07FzycmyoY7VMnfLhFY3ndrvZunUrHo+HJk2aoNVq/XwFCr4ipWTXrl3k5OTQqFGjq66sp9Pp+HjGhwwaNIzsPAm5CphBAAAgAElEQVQSdHrJBx9OVqJGFAKK1Wpl586dREVFUbt27TLvqyR0ejQVqxdjhKBU4r0mCEoiICGEBfgUaIg3k+MAYC/wDVANOAz0lFJmCO/dOwVvzeQ8oL+UclNR40eGmeWD99zBkJGv+VTlSkrJjh07yM7OpkmTJrjdbnbs2IHFYqFevXpX9Au1Y8cOnhn4PPp8MwJBrjaT0ZPfLrEqdQolx/Hjx+nf/1HSUq1ID6g1bl4e9SLdu199iVuXy8XWrVtxu91KrnyFgDNn1ucs+OQz6hnDSXM5sEeFM/GTj4NusfRnIqDGUaHyx9ua+9y/6lerym0ioGAtAL4AVkspPxVC6AAj8BKQLqUcI4QYCURIKUcIIW4HhuFdALQCpkgpWxU1frOKEfLzB1syZlMmYz+fT5UqVYo6vcRxOBx0vekO6osbMOtCAch35rHFvpKfVixR3givIaSU3H77nSSfsmE0eP+vPB43ufknWbzkO6pWrRpkhQoKV8aWLVuYOPhpnqrTHE2BQ8r21NOsi9TzwazPgqrN3wuAH7pc53P/anNXltsFQMB9AIQQYcCNwGcAUkqHlDITuBv4ouC0L4Azr193A7Oll78BixAi4XLzVI008XCigbmzPinxa7gc69atw2SLOPvwBzBojVgc8axYsSLgehQuzeHDh0k+nX724Q+gUqnxuPUsWPB9EJUpKFwdi+fO4/bYKmcf/gCNouNI2X+ArKysICrzM0o1QJ8Jhg9ADSAFmCWEaAJsBJ4G4qSUJwGklCeFEGcCpysCR8/rf6yg7eT5gwohngCeAKgU7vW6Tow28dPB/f67kktgt9tRSfUF7SqpJj8/P+B6/MmmTZuY+dkXZGZmcuddd9C9+z2lyuxtt9u9m1D/QQgVubl5gRekcE2wb98+Zn86m5PHTtKmQxse6P3AFVnuMjIy+Hr2l2z/ZzPVatWk94B+AbNA5ufmEXKRwmA6ocLhcAREQzCQCKUaoI8E41PTAM2BaVLKZkAuMLKI8y+2RLvgK1tKOUNK2UJK2SLa5M3Etvm4lbpNfDcN+UrLli3JUJ/G5XGebfNIN2maE2XKI/yrr+YyoP9g1q9N4uC+bEa/9QH9+j6C2+2+fOdrhMTEREIMGpzOc1+Q3m0xG3feeUfwhCkEjVUrVzGo12AyV2YTf7wiKz5eRZ97+5CTk1Nkv5SUFPr36EXK9//QPjsa1epDDO75MDt27AiI7k53dWNlyvFCbadysvFYQomJiQmIhmAgdDo0lar5fJRngmEBOAYck1KuK/j3d3gXAKeFEAkFb/8JQPJ551c+r38l4ERRE0hg7eE0vj0u+HDcIyWr/goICwvj+VFPM+GNKcR6qiJQkaz6l8ee7l9m6rbbbDYmT5qKxVwdlcpr7QjRV2Hf7iMsX76cW265JcgKrwyVSsXESeMYMvhpcjMFEhVqjZPuPe6gSZMmwZanEGCklIx9fSztwm/EqPVGgjTUN2JH6na+nfctAx4bcMm+n037mNYk0CTe65EeEWIm1hDG+Nff5fPvvva79k633MKfPy9l2qatNDdFkOqy84/NyphPpvt97mAiHQ4cR/8NtoxSScAXAFLKU0KIo0KIOlLKvUAnYFfB8TAwpuDPxQVdlgBDhRDz8DoBZp3ZKrgUR3LcbIlvy5Q3nyI6Otpv11IUd3e/m1Y3tGLpT7/gcbvpfNvrVK5c+fIdSwkHDx4Ej+7sw/8MKmFi1co1pWYBANCqVSuW/b6Un3/+mczMLDp1upm6desGW1ZQSU9PZ/ny5Ugp6dChQ9B+j/xJbm4uy5cvJyc7h7bt2lK5cmWsViueXInRUjgMtIq5Kv/7839FLgD+WfM3/aMLe6PHmiyk/LvZL/r/i0ql4t1JE9m6dSvr//c/6sbG8vRtt5ULp+PyvpfvK8HKAzAM+KogAuAg8Aje7YhvhRCPAkeA+wvO/RlvBEAS3jDAy77S16idyEtvvusP3VdFfHw8jzzaP9gy/EJUVBQS5wXtbo+dipVKXwW8iIgIHnpIKdoD8Nuvy3h15NvoHTFIBOO0Uxnx6rP06HH1YZHXKlu3buXZJ54n0hGL2qNjhmomPfrfzRODHseOHY/0oBLndkizbJlUqFyhyDHjEuJJSbUSb4442+ZwO1HrA+cTI4SgadOmNG3aNGBzXgsoCwDfCIrnhJRyS8F+fWMp5T1SygwpZZqUspOUsnbBn+kF50op5RApZU0pZSMp5YZgaFYoTFxcHE2a1icr+zRnQknt9jy0IXbuv1/Je19aycnJ4bUX36ZqSBsqRdSnckQ9qhvb8t5bk0hPTw+2vBLB4/Hwf8NGcp2uHQ0jm1MvuiHtI25h0ec/kJSUROc7b2Vb+lY80gNAnjOP3a5d9HusX5HjPjz4cX5O2Y7N5fUncXvcLD2xlfse7u33ayrPSFm8ozyjZAIsYXJycjh9+jQJCQlXnU2utGC32zl27BjvvPsWY8eMY9WqtQihIjY2kvETPgl60hEF3/n777/ROqPQGM9lrVSrNOjs0axatYp77in9VoB9+/ahzQ/BFHbONC6EisqiBkuXLGX4i8MZz3h+++FXdOhQm1S8Mfl1ateuXeS4rVq14pFXnuXjCe+jd0KedHFX7/vo+8jD/r6kco1Kp0dXzp35fEVZAJQQHo+H8aPH8fvi34hQh5HhsdL9oXsZOGxQmUrFOWvm50yb9ikqqcftsXFrl46sWv07brebsLCwYMtTKCZqtRrERV6LVLLMpLJWq9VIPBe0e3Cj0WrQaDSMfGUkz414jvz8fMLCwq74d/iOO7tx2x23k52djclkQnORsDyFksXjcGA/eiTYMkolyt1ZQsyeNZutC9fTI64zQgg80sOfs3+lQuWK3N397mDLKxFWrFjB+5M+JcZSF5VQIaXkt5/+JjLyY4a/8Fyw5SmUAK1bt8alfwO7Mx+91ptPw+my49Sn0759+yCrKxlq1aqFCJdk5qVjMXitVW6Pi6PyIK91H3H2PJ1O51NOC5VKRXh4eInpVbg8HsUHwCeU7AklxII582kd0+zsm4JKqLghshlffzYnyMpKjo+nf0aYocpZ5yghBJHh1Vjw3aIgK1MoKQwGA5M+GMtJuYFj2ds4lr2do651jJ7wRpmx8AgheH/GZHZrN7Mlcx3b0zex2vobTwx/jBo1agRbnsLVIkF6hM9HeUaxAJQQDpsdrbGwidSgDSEnOztIikqejIwM7A4tSYc3Y7PnodFoqVyhDmhdSCm9fgFvj2br1u0YjUYefaw/Dz7Yq1RvgUgpWbhwEdOmfUy2NZu69erwyisvU7NmzaDosdlsTJ78Pj/+sBQkNGrSgPTUDI4dPUlEZDhPPzuEW28tXghmq1at+HP1L6xbtw4pJS1btsRgMJTQFVw9R44c4b23x7Fr214MJj39HutLz173F+u+qlGjBj//+SMbNmwgJyeHFi1alIm39iNHjjD53ffYv2M3IUYDPR/py329epbq38HLIXR6dJWrBVtGqURZAJQQ9Zs25MiO41QNr3S2bX/GIVp3uiGIqkqW5tc14YMpn2EJqYVFXxm3x8GBQzto3LQGGRkZPNCzD25bKGZTNdz5Lt4b/SHJp1N45tmngi3dZz7/fDYTJ3xIqCkOnSaO7VuP0OuBPixesoAKFYoOCytppJQ8/thA9m47TWR4bfLyM5k3exFxpvrUq9sMe0Y+Lz73FvbRDrp1u71Yc+n1+msia2VaWhqPPPAY1Z0NaG2+FYfDzudjviYtNY3BwwYVa2y1Wk2rVkXWFStVpKamMvShAXQ11qJzxfbkuxz89P5sMtLTeWJI8T6raxmPw479iP8SAQkhZgLdgGQpZcNLnNMBmAxogVQp5U1F9RVC3A+8DtQDWgYruk3ZAighho96gS1iL1tSdnIi+zQbU7azP+QYg58ZGmxpJUZ6WgZhIZUQaHB73EgpCNVXwul28/XX87Dnagk1RyKEQKPREhVena++mufNt18K8Xg8TJ8+g/DQCmg0XuuOyRiGw6bls09nBlzP7t272bvrX6ItVVEJFUdP7CdKXxc8enJzc9FrDcSHNmLyhKkB1+Yvvv5yLjG2KsSFVkQIgV4TQtOINnw7+7synd/eF7756muuV8dTMyIBIQRGrZ4elVuw5Ktvy/hn5XshoCvMH/A50PWSs3vL238E3CWlbMC5HDZF9d0B9ABWXeFF+oUyawHweDwsX/4nK5f/iF5voNtdvfya2rVixYrM+3E+33/3Pft37qVDs9u4u/vdmEwmv815OXbv3s2c2XPJzMjitm630rVr12J5JR84cJi6dRqTbbWSk5tHiF5PRGQEWfa9bN26nRB9aKHzhRAItKSmplKx4rWVHCg7O5tvvvmWv/9aT2JiLfo93Jf4+PhC5+Tk5OB2SfQhhdfJBkMoO3bsKtb8DoeDxYuXsGzZHyQkJPDww30uu/98+PBhPI5zTml5+VaiNTVwuZ3Y7Q5MJhNajZ4Uq3+LGO3atYs5s+eSlWnl9ju70LVrF2/0gB/Ys2MvUfrYQm0qoSIEE2lpaSQkXLYwaLkhaedemoUWzvmvVqmwqA2kp6dfcH+XJfzpBCilXCWEqFbEKb2B76WURwrOP5PG/pJ9pZS7gaBvzZTZBcBrrwxHJ3bTo0tl8vKzmPHhs7Tr8DAP9vZfTG5YWBj9B/T32/hXw8LvF/Hu65MIU1VFqwnh3bXTWTB/EZ/NmoFK5Zvhp1Gj+vy14gARkTFEFMT6O512wi1hXHddUzb+/Q2GkHOLAG8iFec1V4gkIyODe3v0JC3Vjl4Xyj/r9jJ//vd8OWdWoRTAZrMZrVaFx+MulPI4L89Ks2a+m8cdDgcP9urDoaRUjLpItjiP8MOSX5g46V06dOhwyX61atVCpTtnTTEZLdjyMtGqDYSEeAtgOZz5WCJCLzVEsVmwYCHvvfE+FlEdrSaE0f+bxvfzF/PJzGk+31dF0bBpA1ZsWH/WWx/A43FjE7lERUWV+HylmXpNGnJo3xriTJazbS6Pmwx3fpnPzRHkTICJgFYIsQIIBaZIKWcHUxBAQU2dtkAbKeVFw7TK5BZAfn4+9twdDB/alDq1o2jWOJ4xr17PkkUzsVqtwZbndxwOB+NGT6Zy6PVEhlYg1BBJxfCG7N1ygtWrV/s87lNPD8UpTpOd680IZ7Pnkpaznxf+71kefLAXpnBJpjUZKSVOp520zIMMeKz/NVce+OPpM0hLcWAJi8cQYsISHouQEbz88quFzlOpVDz19FCyso/jcNiRUpKdk4HB7GHAo74XmVqy5AcOJaUSHV4NoyEMS1gclpAavDrqTTyeC+PTz5CYmEjjZnVIzjiI2+OiUkJt0hx7kGobRqORfHs2p3J3MHzEMz5rKwq73c6EMVOoZm5NVGhFwgxRVAlvyt5Nx1izZo1f5uz10AOkm09wLOswUkrynLlszFhDv8f7XHP3VbC5v3cvNpHCrtQjSCmx2vP49sh6Hni0X5n+rIROh75KVZ8PIFoIseG844mrlKABrgPuALoArwghEkv4MotECKESQjQRQgwWQnwphDgIrAfuAw5fql+ZXADk5mTToW3htwONRkWLphZ27twZJFWBIykpCbU0o1YVNvAYRAx//r7S53GrVavGvG9n06B5DLnu/URXcvPh9HF06dKZ8PBw5n83l463NsEuj2KOzOeNt0fQqFEDlixZwuHDh4t5VSXHH38sJyy0cHEbQ4iZw4cuTCby4IO9mDhpNLEJOjyk0e7Gxnz33TxiY2MvOPdK+X3Znxh1hd/INBodNpub06dPF9n3o2lT6f/kPTi1R1Gb0hn8VH/a3V6DNPdWwirlMnX6mGJHAVyK/fv3o3WHXXBfmUQcK/70fWFZFBEREcyeP4sKN4fxj/N3jlp28vQ7AxnweOCrfF7rREREMH3uF6Q3i+GjU2tZ7DlAz1HD6FeMxWppwGN3YPv3iM8HXqe9FucdM65SwjHgFyllrpQyFe++fqBLiaYD3wN1gB+BG6WUlaWUvaSU71+qU5ncAlBrtJxKtl3QfirZXi7MhhEREbg8+Re0Oz15xCf4/uACrxl6xifTLvqz+Ph4xo0fC8Dp06fp81B/MlLzcTkFaq2DLrd15J133wr6vldsbAxJe9MJCTnnn+HxeNDqLv7rcOutt3LrrbeW2PwJCfFsdBzGaDgXVy+lxONxEhpatPlep9MxdOhghg4dXGJ6rpTIyEhcXHhfOTx5JCT4r8x1QkICo8cHv7hXaSAhIYG3xo0JtoyAE+REQIuBD4QQGkCHt2rtpABrmALcgNfkHw6ECyHWAjulvHTFgzJpAQgPD+eX5ZkcO3HO3P/P5pNkZoddNp93WSAhIYHEBtVIzT56ts3myMWuTebe+3oERMPw50eQna4lIrQaMZFViTDXYumPK/ntt98CMn9RDBr8JPmOFDweN+B9+FpzTvLQQ70CMn/ffg/hVqXjLCgaI6UkI/sE7drfcE2Xbq1QoQI161YiJfucpcTmyMWmO0X3e0t/jQCF0op/owCEEHOBv4A6QohjQohHhRADhRAD4axD3y/ANrxm90+llDsu1begvbsQ4hjeh/ZPQohfi/MJSClfk1J2Bq4HJhQ0Dwf+EUL8cslrK2JxUGpp0aKFnDNnDqPfGYHJkIfN5ibUUo1XXxtXLiwAAFarlReef5Gtm3ahQoMpXMvo996kRYsWfp87Pz+fdm07EWkqvA2Wb8umVn0Ln3/xmd81XI5vvvmWSROn4HarkNJJ9x538+KLI/ziyHYxVqxYwauj3sRmc+PxOLnxpja8O/ptQkJCAjK/r1itVoY/O4Ltm/eiFlqM4RrGTnibZs2aXfR8KSUpKSnodDosFstFz1Eo/eTm5mK1WomLi0MIQUpKCnq9/mxyJSHERimlX7586odHyNk3dPS5//W/LvSbtkAjhIgAWhccrfA6Je6UUl7Ur6HMLgA2bNhw9svn/BuxvGG1WsnPzyc2NjZgpvfSsAAAcLlcpKSkEBEREZQHr8fjITk5GbPZfE2/+V+MK7mvdu3axfNPjyQn3Y5bukhsUJ2JU94r8x7p5QmHw8G4Ma+ye+tKoiM07PvXhjoklGrVY8nNtREeXoFXRr1NVFSU3x6yDWLi5DfdH/S5f6NPppT6BYAQYhbQCMjEa3H4H/CXlDKrqH5l0gfgDEKIYjlrlQXCwsICnsPdYDBQv34i+3elE2ryftlLKcm1JdP7oScDqqUoNBpNUOPIVSpVqY3Nvtx9ZbVaefzhIcTRjCiD16/h9PbjDHxsKN9+/3WgZCr4mUnj36SyYR0vvF4Da46TQaO38+zI22nSrCkhhhD++msPL4963q8aPA4H+f8evfyJZZtWgAX4F8gCrHARh53/UCZ9ABSCz/gJYwmLcpKRfZiUtH/JyEnitjtvKlFnOoVrl59+/AmtLQbjecmhoswVOXk4g6SkpCAqUygp7HY7W/75g15dKyCE4Le1p+h+b2sa1o0iIyMVgBtuqIvJ5PSvEIm/MwFe80gp6wMNgZlAJPAucEoIsVYIMf5S/a7IAiCEaAG0ByrgXVXsAH6XUqYXV7hC2SQuLo5ffv2JdevWkZKSQpMmTahatWqJz7Ns2TKmvj+N9PR0mjVrwv+NGE7lypVLfI73p3xEenoGzZo3YYQf5ihrJJ9OQcuFBYTUMoT0dOVroyyQl5dHuFl9dgsow+qkfmMLWo0Kt+vcQz8+wd/bryLYUQDXCtcBHQEJvAMsB5rhjQy4KEUuAIQQ/YGngEPARmAvEAK0A0YIIXYAr5xJgaigcD4qlYobbvBfMaR5875hzDtTsBirYtBWZ/2aQ/Tc8BCLl3xXYls/c+fOY8y7Uwg1VESnrcjfq/fRc0NvFi9ZUO63l4qi/U3t+PbzX4BqZ9s8Hjd2kUH9+vWDpkuh5LBYLOQ6jaRl2omy6LmuvoUfl22nfsOqGE3ePBtOp4uNG/xXqAdA6LWEVC3fC3IhxDC8KYlnAi8CYUATKeV44J9L9bucBcAEtJVSXnQvQQjRFKgNKAsAhYDi8XiYOuUjosJqnU1MEx4aTVqmg5mfzWLkiyNKZI73p3yEJbQa6oJUwGGhUWRkOUtsjrJKs2bNaNa2NltWbyRCWxWXx0GG5yCDn3+s1Dk8KlwcIQRDn32T4eOe4ZFuYVSMDWHH1iTeHbOMxwfexaHD6Xw+cxU9evRh3tyf/KZD2p3kHz7mt/FLCY8DN0gpc4UQg6SUTwoh1gOXNP/DZRYAUsoPL/PzLVevU0Gh+OTk5OB0SkyGwrdwqCmSLVu2l9gcLqcHg6FwoRuTwcKWLdtKZI6yihCC9z+YxB9//MHi73/CbLbQu+8wGjduHGxpCiVIq1atSZj4Ld/P/5I/dx3loUd7YzKH8u28lRgMJgYNfI1GjRoBvnvpXw5J0GsBXBNIKXML/iqEd1/msvmfr9QHoDowDK8972wfKeVdVy9TQaH4mM1m1GouKNSTm59JgwZtSm4OjbiwGJDNSoOGN5XIHGUZlUpV4lkUFa49qlSpwjPPv1yo7fbb7wioBsUHgGwhRAUp5Qm8lvslwMLLdbrSKIBFeAsKTMWbZejMoaAQFFQqFU8OfJTUrCScLm+FvJy8TFQ6K48+NqAE53iMjOx/z2bty83LQqPP5dEynl9dQaE0IRE+H2WEPoCj4O+jgbFSyjcu1+lK8wDYiiooUFrYt28fhw8fplatWpetvV5cpJT89ddffP/1AtweN3fedxcdO3YMWh58u93O4kWLWfbLcuLiY+j3SB8SEwNasKoQycnJfD5rNrt27ea665rzUJ8HrzpBzMP9+2GJCGfaR59gtWZTt1Eir7w6ngoVKly1nh07dvD5rNlkZGRy5123061bNzQaDf3798NiCWfatBlkW7Op37gOr7w6xac5ikJKydatW0lJSaFBgwZs2bKFRd//iMlkpO/DvWnevHmJzqdQNrHZbCxeuIg1y1YSkxBL70f6UqtWrWDL8isqnQ5DtfLtBCilPHTe32ddab8rygQohOiN19nvN+BsQXIp5aarkxkYzmQCPIPNZuPFl55Do7FSv0EFtm45isFQgTffGINWq/WLhsnjJrF87u80NNVDrVKxM2cvDTs34Y3Rb/plvqJwOBz07tmP1AMuIvWVyHfmkMEB3hr3Mrd29k/luKI4ePAgvR/sj9tmxhgSRl5+JiGhduYvmBuUxDjz58/nnbfGo1VFoNHoyLNl0LhpDb6YPSsgqYHT0tLo3+9Rkk/mIF0ajp7ch0atpWalFnikixzHCYY8M0CxOigUid1uZ0CvfoSfEtQJq0qmLZv1eXsZPnYUHW/2PVVuSeDPVMB1Q6PkjBZdfO5/04q5ZSEToBUQeF0izjZLKUOFEGuklO0u1u9Kv90a4fUyHMM583+R3oXXEp98Oo1WrSMY895D9Hu4IxMm9aN6DcnXc7/0y3ynT59m6bc/0ynuRhJC44g1xdAhti0bl/0TlCQoPyz5kdQDTqqEN8QcYiEmtBLVDa155/WxRdaf9xdvvfkualcMkeEVCNGbibRUwp5jZuKEyQHXYrfbeW/sJCzmaoSaIzGEmImyVGbHtgOsWrUqIBpeeH4kmSe1xJjrYNYmYPDUwJ4nsDlyCTNFE29pyMcffkZ2dnZA9CiUTpYsWkzYKUG7+KbEGCOoHVmF7nHtmfBGcH7PA4XE6wPg61EWkFKGSSlDC/48c4QW/OyiD3+48gVAd6CGlPImKWXHguPmkhAeCNauXc493VsXanuwd3v++N0/oSlbtmwhgVhU4tzHK4QgQcZyvmUiUCz/fRUWXWGTtVajx2PXcPLkyYDr2b17H2ZTRKE2S1gsf/+13qfxHA4HWVlZ+FLXIikpCTzaQk5+AGph4s8/V/ik52rIz89n+7bdhJu9OQWyc3JQocGsSeBUiteqpxIq1NLErl27/K5HoXRis9n4c+nv1AmtUqjdqA3B4FCTnJwcJGWBobxnAhRe7hNCTBZCTCr4+2Uv7koXAFvx5hkulUgpUasLX6pGo/bpgXElREVFka+yXdCep8oPSvKYChUTyHfmFGqTUuKS9oDXCQAwGg243IXTgzqcNiIjIy7R4+K4XC7eeXs07dp0pHOnu7m5YxdWrFh5VWNERkbi4cJUpW6Pg4oVK17VWL7gvQfP/Z5qtVokHoRQ4fGcuz89wkl0dLTf9SiULnJzcxnx9Avc1f52Nixfx+zNP3A8+9zDXkpJjscWlN/zQFJeLQBCiOVCCBPwIdAP2AxsAfoXtBXJlS4A4oA9QohfhRBLzhw+ag44zZu35tdfC7srLF60jrbt/GPEaN68OQ6Lm2PZJ862JeemkGG00q7dJa0xfuOhfr3IUh3C7vTmc5JScjJ7P21uup7Q0NDL9C55Hnu8PxnWw0jpNUt6PG6ycg8zeOjVFQoaO2Yci75dTpShIVHGumgcFXn+6ZfYt2/fFY+RkJBAgwaJZGWnnG2zO/LR6O3ce2/3q9LjC0ajkZq1qpCd602PGx4ejlB5yHacID7G+zaXmX2aKtVjqVmzpt/1KJQuhg99HteGTHrGd2ZA3fu4wdSYuVuWkuvIR0rJhpTdXN+hNUajMdhS/YZKp8NUrZLPRynHUhD/fyNwt5Tyi4KjG970/UVypVEArxVHYbAZ+OQwnn1uENu3Hade/Xi2bj7KqVOSiRNG+WU+lUrF9NkfM/KZkWxJ2okQgohKUUyfPAOd7rK5GUqcqlWrMuHDd3ntpbew53jf/Nvd2oq33nk94FoAHnywF+lpGXw5+2sEGlC5eXb4QDp37nzFYzidTpYs/ono8AZnIyu0Gj0hqng+mTGTcePHXPFYH340lRdeGME/6zchhJqIiFA+mjAtYG/c4yeOpe9DA0jOTEO6NJhicpH5HtBlk5yzjUbN6jF+wtiAaFEoPZw4cYLjuw5zd5zXwU+n15FYPZHj+1L5ZN9ioiIjub5DG15+85UgK/UvboeDnMPHgy0jWLUurT0AACAASURBVGiFEJHAPiAWOA0ghIjDG7pfJEVGAQghhLyMnfxKzgk0/40CAG9a13Xr1nH430PUrpXIddddF5CQPKvVisfjwWIJ/g6KlJK0tDSMRuM18UZwZu8+IiICjebqKlNbrVZu6diNaFPhvPJ2Rz6xVT3M/ebqHTxzc3Ox2WxERkaWyL1x5MgRJk14ny1btlGlSmWeeW4ozZo1u+i5DoeD1atXc/LkKVq0uI66deuSnp6OTqcrsdS5a9as4YP3p5OcnMINN7TkqWeGEhcXVyJjlwb+/fdfpk78kG1bdlC5SiWGPT+Ypk2bBluWz2zbto33Br5Jx+jrC7UfTD+Kpl0EI197CYPhwoJMwcCfUQCJoVHyg2a+Jx7qsvrLUhsFIIToC7yKdwHQGlhR8KOOwF9SyiI/mMt96y4XQiwAFp9f8EcIocNbEOhhvBWHPvdFfCA5U5jGn8VpLsa1tPcmhLim9pF1Oh0xMTE+9Q0NDSU0zIjDZkOnDTnbnp2XTM+OvpnuTSYTJpPJp77/5ejRo/S8tw9aVwLh5joc3WPlsf7DmDR1NDfeeKFlTqfT0alTp0JtV5sXoSgWLVzM269OJMpYm1BdPVb9vIfVq3qzcMm3REVFldg81ypHjhyh730DiHfWJ9F8I1m70xja73lGf/A67S/y/1EaqFWrFimeDFweN5rznFgPO07weNf7rpmHv/8pO858V4uU8kshxK94I/XOL7v41ZX0v9wCoCswAJhbkA44E281QDXenACTlHoACsFACMHrb77MM8NGorfFEaI3kZOXiiVO/D975x0eVdH24Xu2pm6STUhCCBAChCYoSFEEBRQRQbFQpCMgUsSC5bOLoigiKohKU4oCihSBFwQFxAooXXpPICSk97Jtvj82BEKAwGYLSc7NdS7InDkzv82ye54z8xT6D+jnaXl8NvULNOYwAg32J2xf7wC0mka8/96HlzUAXInNZmPK5KmEG5qiUdvzXgQHRJKcYWX+3AWMe+E5t+rxBJ9PnUGYuSFh/vY930DvEBpq2jL5vY8rrAHg4+PD4DFDWfzpfFr5N8Fb683BzON4xwRy5513elqe21DptOXby//TeVo8gZQyCdjoyLVlGQDLgTFSyi+EEFogBMiXUmY4MpmCgjNp37493/0wjzmz53Lm9Bnu6vAI/fr3vSGqze3atYcA/5LZJnVab84lp7tdS3Z2NhYTaHxKJr0y+FRjx/Ybw343mUz8/PPP7PxnN3VjonmwxwNOdVDdu+s/ov1K1ojw1vqRnpLptDk8Qb+B/WnYpBGL5y7kbGYK3Ub04sGHepQ7gZXJZOKX9es5tOdfIqNjuP+BHh5xGL4WrIVmsk9WWR8AAIQQJ+CyeY0l9q3+Ope7riwDYB6wXggxD5gspXR/0LiCwlWoX78+kz6c6GkZpahXL5oD29Mx+F5YXrdYTfgZnLPFcD34+fmBylqqqFFOfhptGni+Ol9ubi4Deg+m8IyaQFUo262H+PrL+cxdPJtatWqVPcA1EF2vDhk7kjH6XPB5MFkK8fGv+MvkLVq0cGqq6JycHJ4a8hg3a5JpXV3P0SM/88SCWUyevZCaNW/MlLtVdQvgIi72YdBjz90TClw1hf9VzUQp5RKgOfa9he1CiBeEEOPOH+UUrKBQaXn62THkWGMpKLTnXzBbTCRlHeKpsSPdrkWtVjP48f4kZh4szr+Qm5+JSXOO4U94Pr3w17PnYovzpUFAC8L8I6kb2JSIgsa88/p7TptjzLMjibXuIacwCwCTpYBDOVsY9fQTTpujsvDt3Dl0NqTwRKswmkcG0vvmUJ5tomLqxBs3GMxWjqMyIKVMu+hIkFJ+ATxwvu1K113LOpEZyMVuVfhfcihUEgoKCti6dSu7du2q1GlD3UWjRo2YOedT/MJzSMrfjcUrljcmPMcjbsgtcDmeHPkET704mFzNERLzdhBcx8S8b2cSGen5OOj1a36hlqF+ibYQ33AO77/2fA5l0bhxYz6Z/QHZ4cfZU/ALcd7bGTdhFA898pDT5qgs/L1hLfc1KOkYelOEgbjD+zykqGyUTIDi1ouO1kKIUVxDmP9VOwgh7gM+xl5buIWUMs85chVuJH5e/wtvvzYRvSUIKayoDSZmfPVZpa8i5mpatmzJipVLPC0DsDtNDho0gEGDBnhaSin8DQYKs/OLHRQBbNKKSu3cQkytWrVi6arvnDpmZcTHz5/M/BxC/S9sF1msNlBfX6iuu1DpdfiVxwlwi/O0eJDJF/3bgj0HQK+yLirrHX0N6CWl3O+4LoUbmaSkJN78v/eo59UOrd6epCgnN4ORw8by869r3FINT6FqM/iJ/nz44nSaae9AFNXPOJ65n259u3pYWdXk4QHDmfXlG7zavjoqlf0Jecl/KdzV9REPK7s81kJTlXcCvFxtHiFE7bKuu6oBIKWsmPExCtfM2jU/4Weugdb3QoZCP30gyVla9u3bR7Nmdicxq9WKlPK6E/YoKJRFly5dOHb4OEsWLMdXBJFvy6Jlp1t49vmnnT6XlBKz2YxWq3VLIrCKyL333Ufs8SOMWLGQRkYNsVlWajdvx6tjb9RwUYG8rAN81UEIUR94gJJb8yOFEDOAzVLKyxZJUb7Nqzj5efmoUJdqV6GmsLCQ9PR0XnvlLXZs24MAbrqlERMnveORokYKlRMhBE89M4YhwwZz6tQpwsPDXZKwasMvG5n83sfkZ5sQWsmQEQMZ8vggxRC4BCEEI556hr6DhxIbG+uy98OZVPSiPk5gKbACyLqozQLkAKYrXaQYAFWce+/rzDezliJldPHyq8lSgFmbSbNmzejzaH9yT/sS7dceIQSnd51lUL+hrFm/ErW6tOGgoOAofn5+3HTTTS4Ze+fOnbw5biINfe9A7+2N1WZh/idL0Wk19B/Y3yVzVnT8/f1d9n44E5VOi1+diLI7XoltVz8thPga6A4kSSlL/UKEED2ACdiDCizAs1LKP4vOfQh0w+5w/wvwjJRSCiH6YN9iVwNrpJQvOf4CALBKKcdfomuAlHLK1S5SDIAqTt26dek3/BEWzVmGrzkCm7CQp0vg/U/Gc/DgQVLO5FPLv1Fx/2C/CE4nJfPXX39VqWxjChWbL6bOorbuFvQae9y/WqWhnl9Lvp65QDEAKjjWQjNZJ86W3dFx5gHTgQVXOL8RWFV0Y28GLAEaCiHaAncA55Nt/AncJYT4D7vT3q1SymQhxHwhxN1SSoey+RUx9hrbSqAYAG4iMTGROV/MYve/u6hdJ4phTz1B48aNy7zOHTw1djTdundl44ZN+Ph4c1/X+zAajaxbtw6VxatUf2H24uxZl37gFBScypnT8USoWxAff5a83Dz0XnqqhVajoPCKq6PlRkrJxo0bWTBnITlZOdzb/R4GDRl4QxTiqmy40gdASvm7ECLqKudzLvrRF3v2PYr+9gJ02LP0abFX64sGjkgpz9cg3wA8ioPpfIsYJ4RIkFKeEEJ8gb1WzztlXaS4eLuBhIQEHu85iOyNZ7lHdSsBB2DcoLFs3bLV09KKqVOnDsOfGEa//v2Ki9A0adIEsyaDS4s9WvWZ3HzzzZ6QqaDgEI2bNmDX4X/IzSxEbfOmMMfG4WMH0ftqy77YQWZMn8n7z32C98nq1MxsxroZfzG47+OYzWaXzVlVsUnh8OEMhBAPCyEOAWuw189BSrkFe7G8hKJjvZTyIHAM+wpBlBBCAzwElDfFYv2im38roB7QBSgzc5NiALiBOV/MohnRxATXQavWUsMQTpfgtkx5d3LZF3uQmjVrck+3dsRm7SSvMIt8Uw5xmbtp0bYRjRo1KnsABYUbBKvVSoLlCFnWJCw2Mzm2NOIse7HarC6ZLycnh8XzltA8qD0Gr0B0Gj31g24iL1ayYUN5HvQULoeUjh9AiBBi+0XHiOufX66QUjbEfjOfACCEqAc0AiKBGkAnIcSdUsp0YBTwPfAH9ph9ixN+DWD3VVhSlLa/zDGVLQA3sPvfXdwbWLJmt0HvR2ZCOlLKG9oL+e0Jb3Fb259Y/M0PWKxWxj02lIce7uFpWQoK18XBA0e4vfGDxCbt52TOP/j6Grg1/B6S812T3e7EiRP4C2OxY+15gkQYO7bupGvX+1wyb1VEpdfiH10OJ8DtpEgpW5bdsWyKtgvqCiFCsOfj33p+i0AI8RNwG/C7lHI1sLqofQRQXkt0gxBiB1ANuEUIYQDKrHSlGABuILJWTZKOphLhf6EQSaHFhMb7xo9FVqlUdOvWjW7dunlaioKCw9SuXYvEvSYa1bytuM1iNeGt0btkvvDwcHJtWaXac22Z1Kl/u0vmrKpYC81knvBcnbqiJ/3jRU6ALbDv+acCccATQoj3sfsA3AV8WnRNqJQySQgRBIwGepdHg5RyXJED4umiFQaADmVdp2wBuIEnnn6Sv7P2kF2YC4DJamZz0j8MGjHEs8IUFKoIY58bxTnzfgrN9mzmFquZ0zm7eWL0UJfMFxoaSvO2TTmWuQ8p7bU1UvPOkembyIM9HnDJnFUXx+sAXEstACHEYuwJgxsIIc4IIYYJIUYKIc5X9noU2CeE2A18DvSRdseppcBx4D9gD7Cn6MkfYKoQ4gDwF/CBlLLchS+klHsvuvlfE+JSB6/KQMuWLeX27ds9LaMEf/35F5+89xFZKZlovLUMfGIwjw3o69IVACklx48fJzs7myZNmqDT6cq+SAGAvLw8Dh06hNFoJCoqyi1zxsXFkZKSQkxMjL2ErxNw1uvIyMjg+PHjREREUL16dadocze///4Hk96dQmpKBl7eOkaMepyWrW8lLy+Pxo0bO/3zYTKZ+OiDKfy06mekDeo3jGb8+29Su3aZGVorHUKIHc5aZr+UaN9Q+U7Dng5fP3Dnly7TdqOjGABuxmazuSW/fmJiIiOHjSUzIR81OgrVGbz69kt0vV/ZeyyL7xZ/x8cffYYKX2zSRO3o6sya/QVBQUEumS87O5sxo57myMFY1Hhhltk8OXoow4aXr1Tv4kXfMXXKl2ilASsF1KwbyoxZ06/rdUgpmTL5E5Z+twovAjGRQ/PWjflk2kcV1qC02WycO3eOJ4aNIvVcDkJqkJp8xk94jS5d7nX6fFJKpJRVuq6GKw2AOuU0AAYpBkDl4kY2ANzFow/2gbhQgn3DAft+56H8P/hu9Txq1arlYXU3Lvv372dgvycJ9W+ESmXPdJiRfY6YpkbmLfjKJXM+/dSz7PrzDMEGeySQTdo4m7GHL776kNatWzs05r59+xjabyw1/VsWv4607Hhq3+zF1/NnX/M4a9as4d2XPyPK0LJ4teps1mE692rOa2+84pA2TyOlpMcDj5KV4IPB11721mI1k5y7lx/XfE+NGjU8rLDy4UoDoJ6xhpxy9yiHr39o6RtV1gCouiZpJSYuLo7UM9nFN38AjVpHkDWKFctWelDZjc+33yzCSxVafNMECPQPY/++I2RkZDh9voKCArb+vQOj/4VypiqhwqCrxfy5Cx0ed+E33+GvqlXidRj9a3Dgv2NkZpbpHFzM/K8WEu7dqMRWVbh/fdas/tlhbZ7m1KlTJCdkFd/8ATRqLRpbNZYvW+FBZQqOYC0wk3E8weGjKqMYAJWQvLw81KJ0ghONSkdmRmnPZIULZGVll6hLfx6VSk1BQYHT57NYLAhUpXxBtBod2VnZDo+bnZWDVl16iV4lNNf1OnJz8tCqS3rKq4QKm8XmsDZPk5+fj7hMASy1SktWpuO/cwXPILEn4Xf0qMooBkAlpH79+lh1eZgsF77opZSkE8f9D3TxoLIbnx4PdSfPlFyirdCUhyHQm7CwsCtc5Th+fn6E1wghr6DkU3lGfjwPPHS/w+M+8FBXMs0la6QXmHLwD9JfVyXHbg924VzOiRJt6TmJ3HRzxU0EFRMTg9AWYrYUFrdJKSmUyXTtpnw+KiKujAKozCh5ACoharWadyeP56Wxr2PIjUSLnkzVWdp1bUHjxo2xWq03RCU/m81GQUEB3t7eN0Q+BIvFQrt27Wh5eyO2bz2ABgNWmwmVVzazpnzuMo2Tp7zPkIEjyMkwoBbemEinwc01eOghxxMude7cmRW3rWbPtl3oZQhWWYDFK5WZH0+7rtcxZOhgNm7YzOmTe/GSQZjIQRWQxdvvznVYm6fRaDS8/+EEnn/mFTSWYITQYBZpdOl+J82bN/e0PIXrRK3XEhBdjsiU3c7TUtHwmBOgEEINbAfipZTdhRB1gO8AI7ATGCilNAkh9NirMN2KPblCHynlqauNrTgB2klOTmbVytWkp2ZQq04kC+YsIiMlB6my0rV7Z/7vtRfRal2XC/1KSCn59puFzPzyKywmic5bzbjnn/ZYhsH8/HzGv/UOv278HSlVRNQIZeDgvhw/fpLwsFAe7PGgyyIAzpOVlcXqVf/j9Ol42t/Zlttvv73cXuNSSv799182b/qdsPBQHuzxgEOvw2KxsHnzZrb/s4t69aO5v1vXSlHQJikpiZU/riIjPZMuXTvTtGnTG8IQrYy40gkwyidUvhHTx+Hrh++ZXmWdAD1pAIwDWgKGIgNgCbBcSvmdEGIG9qQJXwohRgPNpJQjhRCPAQ9LKa/6bisGQEni4+Pp/cBA6qhb46PzR0obsdkHaN09hnfff9vtepYvW8HE8dMIC2iMWqXBYjVzLmsfUz57hw4dOrhdz5MjRrN7WyxGQyRCCPIKsikUp1m7bqXLb/wKClUBVxsAr5XDABhRhQ0Aj/gACCEigW7AnKKfBdAJe+YkgPnYiyoA9Cj6maLzdwvFTL8uFn3zHUHmOvjo/AEQQkVt/yb8uv4PcnNz3a5nxhdzqObfALXKvgOlUWsJ9qnP9Gkz3K4lKSmJXdv3ERxQs/jpz8fLH2ueLytW/Oh2PQoKCteHxPFKgM6qBlhR8ZQT4KfAS1xwwgwGMqSU56sXncFePYmiv08DFJ3PLOpfAiHEiPPVnJKTky89XaWJPXkaX21AiTYhBDrh45LQtrLIzslBe0kOdr3Ol+SkFLdrSU5ORiVK54PXanw4dTLW7XoUFBSuH1mOoyrjdidAIUR3IElKuUMI0eF882W6yms4d6FBylnALLBvAThBaqXhjrtu4+u/fyTA+4LdZLGasGkLCA8Pv8qVrqFevTrEH07Hz+fC8npGzjlubX+z27XUqVMHm8jHJm2oLqrcZrJl0q59W7frUVBQuD40ei1BdcvhBLjXeVoqGp6IArgDeFAIcT/gBRiwrwgECiE0RU/5kcDZov5ngJrAGSGEBggA0twvu+Ly0MM9+O6bH4g9vZ8wnyjyTDmctR3g5QnPeCQa4PU3X2FQv+GYsvLx8zaSnZcK3ik8/+JHbtfi4+PD6DFPMO3j2fjpI9Fq9GTmJlCnQQidOnVyux4FBYXrw1JoJu1YoqdlVEjcvgUgpXxFShkppYwCHgM2SSn7A78C5xM6DwbOp6xbVfQzRec3ycqYv9iFeHt7s2jpAnqOvRtzrTNEtFXz5TdTPFaVrEGDBvywYiEdujXGv3oWXXveyvKV31OzZk2P6Bny+GBmfPUxDW8JIjjSzDMvDuTbhfPRaJQo2YqOlJITJ05w/PhxpJTk5eVx4MAB0tKq5jOEzWbjyJEjxMXFeVqK01ASATmOR2sBFG0BvFAUBRDNhTDAXcAAKWWhEMIL+AZojv3J/zEp5YkrjQlKFICCggIcP36c0SOfJiutEKQ9gZFWq8fXOwirLOCuDm15/4P3PBIK6wm2bd3K5Fdfo7pKRb7VhjU4iImffeaW6o6ujAKo5R0mX6rX1+Hrx+6bWmWjADz6iCOl3AxsLvr3CaBU5RMpZQHQy63CFBQUKjRms5lhQ0aiKYykmq+B5PQ4khNO4ac3EtEwCqFSsfmXXXwSOpWX/u8FT8t1OampqUx6/gVejGlMoJcXAEdSU3hp5CgW/Liiwuc/sClrwg6hrHEqKChUOrZt20ZBtppQgwGA04mH8dfVREp7FIrBYMAYUJsVy1dVCQPgp9Wr6RAQVHzzB4gJDsFw+ABHjx4lJibGg+rKh0avxVivHM7M+52npaKhGAAKCgqVjpycHKT1goOr2WpCr9ZisZmxWq2AvaiRxWL1lES3kp2ZhUFTeqvDX60hO7tiF0CyFJpJVZwAHUIpBqSgoFDpaNmyJTZ1JlLa3byqBUWSZ04BYcXP1xeAnNw0GjVu4EmZbuOOjh3YkpnOxT5fBRYLhwpyadKkiQeVlR8JSiIgB1EMAAUFhUpHSEgII58aRkLWHlIz4/HzDqTAdhaNdy75pixSM2KRuhQmvPuWp6W6haZNm1KrfTumH9zHnnOJbIk/zQcH9jLipZfwumhboKKiRAE4hrIFUEUoKChgxbIVbFi/mdCwagwZPpAGDarG049C1WTY8Mdp174ty5Yux2aTzHhgPKdOxfLPtu3Uj6nLo48+gqHIR6CyI4Tg1QnvsGPHDjatXYuPnx8fPvootWvX9rS0cqPRawmuWw4fgAPO01LR8GgYoKtQwgBLUlhYSP/eg8k6AdW8apFnyuGcPMz4yS9zb5fOnpanoKBQyXFlGGBN7zD5TJ1+Dl//4sFPq2wYoLIFUAVYtWo1mSds1Alohp8+kFD/SBr6tuP9tydjs1X1RTAFBYWKjJIIyHEUA6AK8PvGPwnWRZZo06h05KaamDlzJkePHnXJvBaLhd9++43vv//eZXMoKCgoSITDR1VG8QGoAkREVif2r2MEeIcA9iQpJ4+fJC4vjkWf/MLCmSu5vdPNTProfVQq59iEZ8+eZVD/oeSkCWxmDUI/g3YdWzH5ow+cNoeCgoICKImAHEUxAKoA/Qf15X/LhhBkDsNL68PpuDOkFMQTGlSL6Gr2Cnxbf97OunXruf/+rk6Z84VxL2PNCiE8oFpx2x+/7GLdunXcf//9TplDQUFBQa3XElyeRECHnKeloqEYAFWAWrVqMeXLibz1ygTyMywcyjpARGA9bqrVvrhPqL4eSxevcIoBkJeXx7Ejp4jwu7VEe6B3TX74brliACjcMKSmppKbm0tkZKTTVqZMJhNnz54lJCQEPz8/p4ypcGUsBWaSjyqJgBxBMQCqCLfddhvrNv2PhIQEHrn/MRr4dihxXmJzWmngK32RSgkqD5QfVlC4lPT0dJ4e+xwHDhxFpVLj46Nh8kcf0Lp1qXIk18WCed8y6/Ov0dp8MclcujzQidfefMUjZberDspevqMom7FVCCEEERERNLm5Iam5Z4vbpZQkFR6lz4BHnTKPl5cXTZo2ICPnXIk5Mgpi6Tegt1PmUFAoDyNHjuHgvkQCfOrg71ULW2Ewo0c+Q1JSksNjbt68mZkffUN9zV1Ee7WhgVdHNi/fzRfTZzhRucLlkNLxoyqjGABVkElTJqKqnsyp3B3EZeznWN4fdOl5B3fffbfT5vjwo4n4heVxLvsAielHScjZxQM9O9KpUyenzaGg4AinT5/m+NE4DH4hxW1arR6r2Zvly1c4PO7sL76mplczVCr7074Qglp+N7F0seNjKpSNq8MAhRBfCyGShBD7rnC+oRBiixCiUAjxwiXnAoUQS4UQh4QQB4UQtxe1fy+E2F10nBJC7HbktZcXZQugChISEsKPa5aye/duzp07R7NmzahRo4ZT56hWrRqr1iwvnuPmm28mIiLCqXMoKDhCZmYmgtJL8iqVjnPnkh0eNy01nTBtdIk2tUqDOf/GKDiUnp7Ol598zM4//0St0dK1V08GDh3m1O2J9PR0Zs3+nN27/0Gj1nBP5+4M6D/YaeNfDo1eQ0h5nACPlNljHjAdWHCF82nA08BDlzk3FVgnpewphNABPgBSyj7nOwghpgCZ16XZSSgGQBVFpVLRokWLCj+HgsL1EhMTg1BbsFotqNUXvgJt5HDvvY6vgnXq3IEN3+4hMuBCad3M/BTqxkSVR65TMJlMjBkwgK46Nb2aNMBktfLjsh9499hx3po0yWlzPPPMCAYMbsG4F56ksNDMgvmbef+Dd5wy/pWwFFpc6gQopfxdCBF1lfNJQJIQotvF7UIIA3AnMKSonwkwXdJHAL0BjyyNKlsACgoKVQqdTsfrb7xMZu5JMrKSyMnNIC3zFG1ua0abNm0cHnfEqOGowtOJzdpHZn4y8ZlHSNL+x/j3XneiesfYtGEDja1m2tasgUoIvDQaHoupx7GtWzh37lzZA1wDGzdtoPVtEdx99y2oVCq8vfU8ObILsbH/OWX8q1HOLYAQIcT2i44RTpIVDSQDc4UQu4QQc4QQvpf0aQ+ck1J6JFOasgKg4DRMJhNr1/7Exp9/Jax6GAMG9iUqKsrTstzKjh07+H7xUqw2Gz17PcRtt92G3civuOTm5rJs6XK2bfmX+g3q0a//Y4SGhrpgjmVs2fIvMQ3q0b9/X6fPcTEPPvgAjRo1ZNGi70hPz6B796506tTpmkIBU1NTWbTwOw4cOETLlrfQq3cvDAYDAQEBLFv1PSuW/8j2rTup3/B2+vTtTXBwsMtex7Vy7OBB6vv5lGqP9vEmLi6OsLCwcs9x8uQxmjarWaq9UWPXb/2VMwogxUW1ADRAC2CslHKbEGIq8DLwxkV9+gKLXTD3NaEYAApOwWQyMbD/45w+nIm/Lpz/zEmsXPYTkz+dQIcOd3lanluY+ulnfPP1Mnw11RFCxW8bXqVHz8688earnpbmMBkZGfR+tB+5SXr89SH89/efLFm0nHkLZxETE1P2ANc4R89HHiMrBbz1Qez4+yTfL17Ggm/nOG2Oy1G/fn3eeuuNsjtexKlTp+j72GCseT7o9Qa2/72Eb775jqXLFhMSEoKPjw/9B/Sj/wDHi9O4gvqNG/PvhvVcepc7npfvtIqAdevG8N/en2jXrkmJ9gP7z17hCueg0WvL5wPgumfvM8AZKeW2op+XYjcAABBCaIBHgFsvc61bULYAFJzCmjVrOX04k4iAxvh7GwkxRBLh3Zzxr79bJQoOJSUl8e38PHKJIwAAIABJREFUH6ge0IwAv1AMviFUD2jKquXriY2N9bQ8h5n55WwKknypHlgfP+8gQgOiMMj6vPX6BKfNMWPGLLJS1IQERuHrHUBIYCR6WYM3X3/baXM4i3fefg+VuRrGwJr4egcQHFib/Aw9Uz/9zNPSrkrHu+/mgEbHH6fPYJOSfLOZhYeP0uCOdk5baenYoRP/bkvg5593YrPZyMsr4IvPf6JOnaZOGf9KmAvNJB1NdPhwFVLKROC0EOJ83fW7KVl8+B7gkJTyjMtElEGlNAAyMzOJi4vztIwqxYb1m/DXlbTCtRo95gJBYqL7snSlp6ezbt06Nm/eTGFhodvm3blzJyqzX4nlfiEEwuzPtm3brnLljc2vG38jxFCrRJufdxAnjjvPqNn4y68YDSWXiX29Azh+/JTT5nAWB/Yfxt/XWKIt0FCdP/74y0OKrg2dTscX33xLUvOWvHLgCO+dPEOdPv147d13nTrH1Kmz2P+fikEDZjJm5LcEBd7KKy+/5bQ5roQr8wAIIRYDW4AGQogzQohhQoiRQoiRRefDhRBngHHA60V9DEWXjwUWCiH2ArcAEy8a+jE8uPwPlXQLwGrN4f0PxlGnTnNefOHVCr8HWxEICw9lv+kA/t4lvxytNpPb0qEuWfIDH77/KVj8UKklGq9CZsz6jGbNmrl87qCgIISmdLiXUFsJCQm5zBUVA2NIMBnHc/HxMhS32WxWtDrnfXWEhISQeDIPby//knNob7yvJy8vXanoAZO5gMDQQA+qujYCAwN56U3X3owDAwN54flXXDrH5XDlGqOUsm8Z5xOByCuc2w2ldl7OnxtSbnHlpFKuABiNfnz2+VAKCk+wYeMGT8upEgwY1I889RnMlgtP3clZp2jdtjkGg+EqVzqH+Ph4Ppz4KSG+NxEaVJcQQz28qcOYUc9itbo+DrtVq1b4GVVk56UVt+XmZ6L3N9GuXTuXz+8qRo4eRnLBYWw2++9QSkli9mH69HVO1kiAUWOeICM/tsQcKVkn6dv/xssaOXBwf9KyTyKLHh1t0kZG7klGjh7uYWVVl/I8/Vf1TIA3nontJIQQ9OvfjplfrqLzPZ09LafSEx0dzaSP32b8GxOx5Kuw2Apo074FH3z4nlvmX7vmJ4Q1sDgLG4Be50NOjpq9e/fSvHnzq16fl5fHpk2byMrKpl27O6hVq9ZV+1+KSqVi3oLZjB3zHGdP70UIQbXwAKZ+NhudTufQa/I0mZmZNGvWjGdfHsHnU2eisnlhlvl079mFMU+Ncto8d955J8+/NIrpn81E2LRYZCE9enVlzJjLz2Eymfj9999JTEykZcuWNGzY0GlayuLxxweTmpLK0h9WoBZ6bJh4fHgfcnNzWbp0KR06dPD4is/Ro0f5d9s/BFcLoUOHDuj1+iv2NZlMZGRkYDQa0Wgq5u1A66UltH45nABPOE9LRaNivuPXiEolii11BdfTsWNH7vr9LhISEvD393fLk/95rDYr4gqhQGX9H9i7dy9PDB+NOV+HzSb4SPsZAwb1Zty4Z69LQ2RkJCtW/kBycjJSSpeGsbmShIQExj3zEieP2X2TImuHsWDRHLy8vDAajfj4lA4nKy8DBvand59eJCUlXXWO06dPM6D/EHIyJVazCrVuJnd2aM2Ujyc7rZrf1VCpVLz0fy8w9ukxpKamsnPnLsa/9S4Wkw6BYKJuMm+8+QoPP3y5pHCuRUrJhNfeYt+mbTTQhJBJIdMnTmHavJnUqVOnVN/Z0z/npyVLCNZqSbVY6DfySXr1u7GiF64Fc4GZRKUaoEOIyniDbNmyvtz671Q+nPQjLZo/zH1dnFPjXuHGJS4ujocf7Es1v5uKVwFM5nzyOclvf2y44tONzWaj412dwRSKXucNnF+CPsy3i2fTpEmTy15XWbHZbHS990FsaSEE+NoNmOy8NEy+cfy8cQ1ardaj+nr36suZE4X4+VzYc0/OPM7ESS/Ttat7P+fZ2dl07HAvvrqaxT4BNpuVrPxTbNj4E0ajsYwRnMtvmzcz9+XJPFqzTbHfU2JOGpt18Xz745ISfb/79lt2fDWXwTGNUKtUmKxWPj+4j8feeoNO99zjdG1CiB0uirUnXB8u+9cY4PD1H5+c4jJtNzqV0gcgPT2H556Zj81anXs7d/G0HAU3UKtWLZ4dN4rknH0kpR4nKf0YOdZjTJs+5apLm8eOHSM/z1Z88wf79pGGQFb+uNod0m8otm/fTk6KrfjmD+DvY6QwU8dff3nW0z03N5cTx+NK3PwB/PShLPl+mdv1bNmyBUuhtoRDoEqlxmLS8eeff7pdz9rlq2gdGF3C6Tncz0jBuQxSU1NL9F2+YAF968agLlo10anVDIiux6JZs92q2RnIch5VmUq5BSCEL88+M5G6deuWe6ykpCTmfDaN3Vu34GcIoPfQYdzXrVvZFyq4nYGDBnBf1y5s2bIFLy8v2rVrV+Zytb0QSumvAYmt2HDYtGkTn02bQWpKCre2bMELLz7n9OJJmzZtYvq0GaSkpNKyVQuef+FZp89xLaSmpiItpZ/ypVlTrlK5YA+V/PijaZyOO0P9BnV58aVxNGjQoOwLi7hSNI9N2jyyf63RaLjcrpMQeEyP1VY69NWGLLU9YikowPuS1Zxgbx8y4ytm+LStqt/JHaRSGgCBgYFOuflnZWUxpn9fegX68FiTaDIKCpk/5QOSExMYOEzx+r0RqVatGg8++OA194+OjiYgyJv8zOziMDSbzYZNZPFoz4f54YelTHznU4y+0fhq67Nt83F6b+vPipVLnLbH/8MPS/ngnWkYfetj0Ibxz6+x9Nk6gBWrllCtWjWnzHGt3HLLLVg0mUgpi2+4UkpsuixatWrl8Lhbt25l9IjnCdTXwd+7AUd3pzHgsWEs/P7ra8725+Pjw01NG3Job3JxKV8pJXmF5xgw8GmHtTnK7bffjs7LgtlciFZrd7SzWMxo9Wbat2/vdj09HuvJJ2PfoHZAKCphv+GfzEjEGFWdoKCgEn0j69bjRHoa0UEXtil2Jp6l+W23uVWzM9DqtYSXxwnwlNOkVDgq5RaAs1ixZAmdfLS0jqyOSgiM3l6MbdqAFfPnYTKZyh5A4YZHCMHMWZ+j8k4jLfskqZmnSM8/zPMvPUWdOnWY+snnhBoaotf5IIQg0BCGJc+feXOvVBn0+rDZbEz95HPCDDfhpfNFCEGQIRxrXiBzv57vlDmuh+rVq9Or7wOcydpFVl4KWXmpnMncQ5fud5ZyJLsePpj4EUbv+vh4BwDg72vER1WTjyZ/el3jfDRlEsHhkJ5zgpSMU6TlHqZPvwe58847HdbmKN7e3nw2/RMKZSIZ2WdIzzpDgTWeKR9Pwt/fv+wBnEzr1q25s/8DzIn7jU1n/2PF2e38oYnnvU8nl+r7zOuv8dXZ0/x15jQJOdlsjDvFyuwMhj891u26y4u50EzCkUSHj6pMpVwBcBaH9+6hi7HkfqNGpSLCS0dSUhKRkZfN/VBukpOTWbpkGfFx8bS983Y639vZ485XFQEpJf/++y8rV/4PP19fevfpeU0rQdHR0Wz69Wf7/ndODi1btiQgIICsrCzMJonap+THxM/byK6dey471oEDB1i2bAUWs5VHHu3BzTfffNW5s7OzsZjAppWkpiZhMpnw9/fHz+vKc7iaF14axx3tb+e7hT9gtdro3fe1ct9gzyUmE+xVsuCMv6+Rw4cOA1BQUMCaNWvZunUbDRrE0LPnowQGlk6uExISwv/WrmTv3r0kJSXRrFkzpxSycZQ2bdowa9bnTJs2HZvVxugxI2ndurXH9Ix6+il69u3Dnj17MBqN3HLLLZeNjqhbty4zlv7A9wsWsPbIERp268qcfn0v+zu/0ZG4NhFQZUYxAK5CdMNGHP35GLUDL8qCJiWJBYUui/Xdv38/Tw15muqWOvhrDcz+ZQHffr2QuYu+vmo8b1VHSsmrr77BujWb0amCsNqsLPn+R1574wV69iw7aY1arS5VCtbX1xehsmGzWUvkF8gtSKdRk9Jf8rNmzmHm5/PQqexbA/9buYF+Ax/m+Reeu+K8fn5+FBTmcPTkUQRaVEJFdmYeFpFB2y73X+vLdypCCNq2bUvbtm2dNqYxOJDC9PwSzpa5+ZlENaxNVlYWvXv15VxCDlq1D7+s+4evv5rPwkXzL7vqIIQo07ByFzO+nMmML+eiEYEIBE8Of4aBQ/pcdwipM6lWrRr3XIMnf2hoKGNfeMENilxPJQxmcwvKFsBVeOSxx1iXmcfBZLsHbZ7ZzFf7j9Hp4Z54eXm5ZM43XnqLm3VtqRfUkDC/CJoGtqTwOCz7wf1ezhWJ/fv38/NPvxFiqE+AfzWMAeEE+8Uw6f0p5OXlOTSmWq3miScfJynzCGaLfcsnJy8DqUlj+PChJfqmpKQwa8ZcQgNuIsgQTpAhnFBDExZ9u4wzZ65c60OtVmOTVrJMZxBCoFJpsEoT6fmxVAutuCmEL+X5F58lNe8IhSb7e1FQmEOW6STPv/gMs2fNIfFsHkGGGvj5BmEMqI610J83Xh/vWdFlkJyczOxZ8wg21CPQEEqAoRpGQz2+XfA9Z8+6tgKewgW0ei3hMeEOH1UZxQC4CkajkY/nf8Mm/2q8sOsQE47Fc9Ogxxn1rPOt+7S0NNauXUviqXMY9CUT6NTyrcvPa5SUxldj08ZfwepbwlNcpVKDzYt9+/Y5PO7QoUN4+Y2xSK8E0gsPENXIh28XzyUiomTxmh07diAsfghx4SMlhACzL1u2bLni+NnZ2Xjp/KgVGUWW9QgphXuwapNpUu92tvxVcYsIXUqnTh2ZMnUCemM6aab9BEQUMGPOpzRr1ox1638h0D8Uk9lMVnY2BQWF+PoEcPDgYU/Lvirbt2/HZtaXes+tJv1V33MF52IuNHP2SKLDR1VG2QIog1q1ajH5yxkunWP2jNks+eo7QmUw8XFnOJZ5jNrRUWg19n3/fHMeQcagMkap2hiDjUgspU8IW7kyEgoh6N27J71797xqP39/f4S69E6kSi2vuq+q1+uR2AgPiaZ6tQv+Clm5KQSHBDus+0akY8eOdOzYsVR7YEAAOw6eIi/PxPm4Or1eQ1ikulTfGwmDwYBKU3rtWa25+nuu4GSUnP4Oo6wAeJhdu3bx46xldA+5l9tCW9E4NIak/DPEx9mXja02C0cK/2PQcMczXVUFunfvhlqXh8lcUNyWnZtGtTDDdcWaO0qbNm3wMUjy8rOK2/ILc9D5mq7qQKfT6ejQqR1pWaeL22w2KznmeIYOG+RSzTcKDRvVJzktFpXQoVbpUAktGdlJ+Pv7elraVWnTpg2+/mryC7KL2woKc/HylRW6AFRFQ6IUA3IUxQDwMMsXL6OJd4PiuN3O9e5C+ufxR9p6tmf8wd95vzDq1eFlFrOp6gQGBvLlzGnYtIlk5J0gPfcY4bU0fD131hUTyEgpyc7Odkq1QLVazdz5s/EOziQ19yBpuYfQ+CXz9byZZTpvvjPhLVq0rUNSzn+k5R0lzXSAV954lpiYmCoRbrpn9z7CwyLIM8WSb04gzxRHYKAvmZnZZV/sQiwWCzk5OVesJaHRaJg3fw7+RhOZeafIzDuFlyGXefPnKA67bsZWjqMqU0lrAbSU27dv97SMa+LlZ19C7LAS4V/SGeV/iT/z1vS3admyZYWtJucJbDYbp06dwsvLq9Q+/cWsXfsTH7w/mfw8Eyq1ZNCg/oweM+qKxsK1IqXk9OnT2Gw2ateufV3jpaamkpqais1m47VX3uJ03FmktHFb21a8N/EdtxZXcidd7+tOboY3QggKTXlotV5o1FqyC06yfcdWt+uxWq1MmjSZFctXIaUgIMCXdya8xR133HHZ/uV5z6sKrqwFEGGoKYe3fMbh6yf8+mKVrQWg+AB4mG6PPsDHf0ymul9Y8RdHWn46fuH+Tg3DqiqoVCqio6Ov2mf79u288n/jCfCNwt9bi81mY/bMRXh5ezFs2NCrXlsWQojrLiV8nuDgYLy8vOjSuTtqcwQhvk2RUrL9j5OMHDGGRd99Uy5tNyqP9nyY6VPnYwyIxMfbbuRk5aTS5g7PxNO/P3ESy5asJ9BQByEEptxCnhozjh+WLqRevXql+pfnPVcoP+YCc5V35nMUZQvAw7Rr146b72vBz8m/si/pAP8m7+Iv0798MHWSp6VVWqZ/9iXeunA0RU6WKpWKAP+afP2Vc7L7lYe1a3/ClKPHtyhjnhCCoIAaHDtympMnT3pYnWsYNGggNzWLIiMnjtS0s2RknyEoRPD222+6XYvZbGblj6sJNEQWG+RarR6VDGLOnK/drkehbJRiQI6jrAB4GCEE498bz5HBR9j691aMIUbuvvtuvL29y75YwSHi4+Px0peMqlCr1OTklS6k4m7OnI5HUHr/WEg9SUlJ15WONy0tjS++mMnmTb8TEmJk1JgR3HXXXc6U6xR0Oh3ffDufXbt2sWfPHqKiomjfvr1HCurYc0aoSy3je+l9iYs9Xaq/1Wpl0aLFLF60BClt9O7TkwED+iuZO92MUgzIMRQD4AYhJibmmouiKJSPO9q1ZdWyPwgMuJBCtqAwjxo1PJ8UpO0dt7FowcoSbVJKbKpcGjZseM3jZGdn0+vRvuSm6jEaapMcm89zT73OCy+Ppl//vs6WXW6EELRo0YIWLVp4VIfBYMDHV4/FZEKjueB7k5efxl0d7ivV/9lnxvHnb7sI8IsABNM+nstff/7NnK9muVG1QiV0ZXMLigGgUOUYM2YUGzf8SnpmAr4+QeTnZ4Mmiwnvujbfw7XQqlUrmtxch/27juHvHY7VaiG78DRDR/QjICDgmsdZ8v0P5KRqqBZYEwBvvR96bRM+m/olvXr3VJ5Qr4AQgvFvv864Z19BI4zodT7k5qcREqan/yWG04kTJ9jy13aCAy/kbwgOrM2unQc5cOAAjRs3drf8KolWryWiQTmM9wTnaaloKAaAgsvIzMzkxx9XcjruDO3vvIPAwEDWr/sFH18fHnroQZcVUyqLatWqsXLVMuZ+PY9t2/6lXv1WjBgxnKioKI/ouRiVSsWcr2ayYsWP/Lh8NT6+AQx5fMwVPdCvxLZt2/H1MpZos2dG1JGcnHzVCImqTseOHVn8/TxmzZzDmTPxdOjYi4EDB+Dn51ei38GDB7GYSn+FmgvUigHgRkyFZs4cVpwAHUExABRcwpEjRxg8cDjmfG80Ki9mfD4Xk9lC7YjGgI25c77l7Xdfo3v3bh7RZzQaef6FcR6Zuyw0Gg29evWkV6+rZx+8Gg0a1Oe/bb/i43UhdFBKiVUWYDQar3KlAkDDhg35+JOPrtonMjISja702rNWL6lZs6arpClcirQXaVO4fpQoAAWX8MLzL6OTNQgJrI1Goyc/z4qXrImQ3gQH1cTo25B3xk+koKCg7MEUrpsBA/sh9Rnk5mcAYLVZSco8yiO9eriskFVVo1mzZtSqE0ZGViJSSqSUZGSdIzwigFatWnlaXpVCiQJwDGUFoIjU1FSOHDlCjRo1KlRMr9Vq5b///sNms9G0adMbYm83NzeXhPgkgv3sS6BpGQnoVEGo1ToyMjIxGo2o1RqEzYe9e/d6tH76eaSUHDx4kJycHJo2bVrhozDCwsJYsHAOb77xDieP70Gr0zJ01GM8+eQTnpZWaRBCMH/+17w7YSK/bvoNCbTv1Ja33nodlUp5tnIXWi8NNcpT1a8K7x5UeQNASsm0yZP4Z+0qmhi8iM0z4xMdw8Sp02/4m8D+/fsZ++Q4ZK4XILDqs/lo2vsev6FqtVokNqSUCCHQqDVILEgp0agv/JeTwoqvr+fzvcfHxzNs6AhSk3NAqhDqQl5742V69HjQ09LKRUxMDN99/62nZVRq/P39mfTh+56WUaUxFVg4rfgAOESVN1PXrV1LwobVTG5Tj8cb12R8y2iapscxbdKN/aE2mUyMHv4M1QqbEeVzK1E+LYi0teK50f9HTk6OR7XpdDratb+djGx7TfQQY00KrWlYrPnFFe5y8zIIDNJ73FFKSsmIJ0aRmaIhwLc2AX418dVFMf6ticTGxnpUm4KCwrUgy/WnKlPlDYBVi76hb0yNEok/ukRXZ9umDS6fW0qJzeZYOYp//vkHVa4BH51/cZte64MuP4TffvvNWRId5r2J79D4luqk5R4i13SWsIggfIIzMJFIeu5R/ELy+eoqhXrcRWxsLEmJGfj6XAixU6s1qGz+LF/+oweVKTgLm83m8OdMoWJgk44f14IQ4j4hxGEhxDEhxMuXOV9bCLFRCLFXCLFZCBF5yXmDECJeCDH9MteuEkLsc/S1l4cqvwVQkJ+Pd6hPiTaVEAh5YQnb2ZhMJiZPnMwvazaCTVKzbk3e/mB8mTnsL6agoABkaftNSDX5+fnOlOsQvr6+zJ03h7Nnz5KcnEz9+vXR6XQcOnQILy8v6tat6/GbPxT9Hi+jQwg1uTm5HlCk4CwyMjJ47bU32PL3NgBatbqV9yZOICQkxMPKFJyNK5/jhRBq4HOgM3AG+FcIsUpKeeCibh8BC6SU84UQnYD3gYEXnZ8AlHoyE0I8AnhsybbKGwB33d+ddf9bRK+GFxz//juXSlSTpi67Qb38/CskbUnlnqD7UAkVKfHJjOj/JEt/+oHAwMBrGqN169YUaN/FarOgVtnfRpu0kq89R/v27V2i2xEiIiJKxJzfdNNNHlRTmpiYGPReArO5EK3WnoLXHi6XRbfuXT2sTsFRpJQMHDiE06fS8fe3r/D9u+0Q/foNZN26NYqTXiVC66UlskFY2R2vRFKZPVoDx6SUJwCEEN8BPYCLDYDGwHNF//4VKF4+FELcCoQB64CWF7X7AeOAEcASx1+A41R5A6DvwEE8/esmkvaeonmgF6dyzWzLF3w6722XzJeSksJ/W/bR0di5uC3EtxrVU2uwcsVKBj8++JrGMRgMvPT6s0x6eyp+5giEUJOjOcPIZ4cSFlaOD0MVQ6VSMeXjSTw1+jksuXqQaoQmjx6P3Mctt9ziaXkKDrJr1y7iTydhMFzwDvfzCyIpMYGtW7cqlTYrEaYCM3GHyuUEGCKEuLh+/Cwp5cW5nGsAFxeCOAO0uWSMPcCjwFTgYcBfCBEMpANTsK8G3H3JNROKzuWVR3x5qPIGgF6v58tvFvL333+zf9dOGkbVYUznzi6LlU5KSsJf7V+q3aANJPb49TmdPfzIQ7S5rTU/rV2H1WKlZetbWbP6J3rc35Oo6NqMHjuCBg0aOEt6paVNmzas/+V/rFmzlsyMTO6+pxONGjUqPr93714+nz6D+Piz3HlnO4Y/MVRJpuNGsrKy+Oqrr9mwYRNhoaGMHjOSli2vXr49MTERk0nCJUEmJpON+Ph4F6pV8ATl3AJIkVJe7T/U5ZaCL53yBWC6EGII8DsQD1iA0cBaKeXpi1eUhRC3APWklM8JIaIcl14+qrwBAPanwHbt2tGuXTuXzxUVFUWGLR2btKESF5YhkyyJdG/b5brHi4iIYNjwoSQmJtLn4YHociMI9q3Psb/SGPznSKbO/IA2bS41VhUuxWg0MnDggFLt69f/zMsvvoWPNgIvvYElCzewdu16Vq5ael25+RUcIzc3l0cf6c25hFz8/YJJSjjD0MdHMf7tV3nkkYeveF3jxo3RXiZLn95LRbNmzVwpWcEDuDgR4Bng4tSOkcDZkvPLs8AjULy0/6iUMlMIcTvQXggxGvADdEKIHCAWuFUIcQr7fThUCLFZStnBpa/kEhQDwM34+PgwYER/lny+lJv8b8FH482xzKOoakru6XyPw+N++fks9Lk1CDXUBiDINxwvkx/vjZ/Eqp+WO0t+lUJKycR3J2H0q19cGS44MJK09DMsWPAtY8eO8bDCys8PPyzlXGIOQYHVAdBotOh1Pnz44RR69HgQtVp92euioqK4p/OdrPvpN3y9g0EIcnNTaX9XS2VVrJKh9dIS2bAciYD+LLPHv0B9IUQd7E/2jwH9Lu4ghAgB0qSUNuAV4GsAKWX/i/oMAVpKKc9HEXxZ1B4F/M/dN3/wQBigEKKmEOJXIcRBIcR+IcQzRe1GIcQvQoijRX8HFbULIcS0ovCLvUIIz9YLdQJDnxjKK1P/j8yoFA7576PTk3cxd/HccmXx+2fLdoL9ShbXUanUHDx4iM+nf8nBgwfLK9upmEwm1q1bx6efTmPTpk1YrVaPaZFSsnLlKh584BE6dujMBx98SFZWFtnZ2RTkm0uUhQXw9Qnmrz+3eEhtSWw2G3/88QeffjqN1atXU1hY6GlJTuXPP/7GS28o0ZaXl8+xIye54447efXV1zl37txlr5006QPefuf/qFHLj+o1vHn9zXF89tlUp+qzWCzMnTuP++7tRufOXZk5czYmk8mpc1wPKSkpfPD2BB65pyvDevdn86+/ekyL2yiqBeDoUebwUlqAp4D1wEFgiZRyvxDiHSHE+WxhHYDDQogj2B3+3nPNi3UuQrq5iIIQojpQXUq5UwjhD+wAHgKGYLegPiiKswySUv6fEOJ+YCxwP3bHi6lSyquuabds2VJu3779al0qHSOHP0X8TkmAjz3EKSU7np0nfkWj8qdWrSis6gy6P3Q3b771usfD79LS0niszwDSk01g04GqgOo1A1m0eEGpimvu4OMpn7Bg3jICfCPRqHVkZCUQWkPPsuVL6HjXvQR4xSAu2q7JyDrH3fffwsSJE9yu9WIKCgoYNPBxTh1NRth8kaIA3yDJ4u8WEB5ejieiG4gP3p/E4oU/ERhQDYD09HTi4xMwWZJodlM7cnIz8AuwsXr1Co/4ZYwcOYatf/6Hwb86AkFmTgK3tKjL3Hlfuf1zlpWVxaCHenGnKoxmIbVIL8hlVeJ/dB87jD6XlDJ2N0KIHWXssztMoCZMtg98zOHr/5c6zWXabnTcvgIgpUyQUu4s+nc2douqBvawivlF3eZjNwooal8g7WwFAovbJ6LEAAAgAElEQVSMCIWLGP30CJIsByg05yOlZPep3/DTRBFVownVgmoR5t+U1Ss2snv3bk9L5f2Jk8hMVmM0RGEMjMBoiCYhNo/Pp3/pdi3Z2dksWvgDIQF10Wm9UKlUGANrkHQ2j19+2UCfxx4lJfMkNpt9haLQlIdFpDJ8+ONu13op8+Yt4OThDEIMMQQH1iAkoC7mrADeeN01ESyeYNDggWh0BRQU5iGlJCHhHFZbDsHGcDQaDYEBIWRnSubNm1/2YE7m2LFj/LttD8bAWmjUWtRqDcaAmvy39wj79+93u56l3y2huS2Q5qFRqFUqQnz8GVi7Dd9+MQuLxeJ2Pe5EKQbkGB4Nhi3a+2gObAPCpJQJYDcSgNCibpcLwajhPpUVg2bNmjFp2niy/Q6wP309VmkjrHo4wSH2pyIhBHpRjdWr1nhYKfz5xxYC/ENLtAUaIvjpp/Vu1xIbG4tKeJV6WtOofdmxfSfPPvcMjz/Rk2zzMVJzDuITlMPM2dOuK2mTq1i5YjVB/iW3fQx+1di9a6+HFDmfiIgI5s2fTVh1LZk5p8g3ncEYHEStmhf28X29A/j3nx1u13b48GEsptI+CKYCFYcOHXK7nn3bdxETUDIEWKtWE6TyIiUlxe163IUEbPbqIw4dVRmPOQEWeUouA56VUmZdZbnsWkIwEEKMwJ5QoUJV83MmHTrcRYcOd3H8+HH69x5BiG9wifM2m+WGKL6j1qiR0oY9wZYdm82Cl4/e7VoiIiKwydL75hZrHg0axqBSqRg7dgxPPTUam812RaczT+Dt7U1mpgWN+oLviJSy0iW5adq0KatW/0hhYSHt2nXASxNRwmDLL8ihYUP3l9+tWbPmZSMNdF6e+Q6q06Aep49vJ9z3QjIxm5SkWwsICgpyux53ofPSULM8ToB/OU9LRcMj3xRCCC32m/9CKeV5F/Vz55f2i/4+n5+pzBAMACnlLCllSylly2rVqrlOfAUgOjqaauEGsvPSitusNgtmkcyjPa8cOuUuHn7kQdKzzhT/LKUkPfs0/QY4vo/nKEajkU53tyc1IxabzYqUkqycVHwNskQ1QCHEDXXzBxg0pD8Zuae42I8nLSuO+7p2vspVFRe9Xs/QoYPJzI7HarUvaecX5KDR5TP8iWFu19O0aVPq1I0gIysRKSVSSjKzzlEjMrjMPAWuoM/A/vxZkEBclv1pv9BiZkXcLrr07IFe737j2l2YCszEHkpw+KjKeCIKQABfAQellB9fdGoVcD4N3mBg5UXtg4qiAW4DMs9vFShcHiEEM2ZNxzs4k+ScgyRnHyG14D9eH/8iUVH/3959x0dRtAEc/8319EoSSGih9xaKIKAoTUEs2BULivrSEQELKiooggIqSlGkCjZEpAgIIlioooiCoXfTe7mUm/ePO1JISELC5ZK7+fK5T7i53dtnN3vZudmZZ+o5OjxGjhxO5+ubEp/6Lwkpp0lI+5fet1zHQw89WPrKdjDtzTd4+LHbyZRnSM48SpuIMFZ+vswhHRKvxqBBt3H7PTcTm3aI+JTjxKb+Q4v2tZj0/HOODs1unn76KcZP+B9aQxLp5nPUa+DL8hWLCQ2t/LuCQgg+Xfwx/QdeR3r2KdKyTnJTvw4sX7HEIa0wQUFBvLtkAbv9M5l1aifzY36n09DB/G/MqEqPpTJJ7D8ZkLNyxCiA64GdwF/ApSm6XsDaD+ALoA5wBrhbShlvqzB8APTDmjLxMSlliV38XXEUwOWys7OZM+t9VixfRXZ2Nh0i2vPGtFepXbt26StXkvPnz3PmzBnCw8NV+uISrFu3njmzPiA5KRX/AF8mvfAcPXv2yHs9NjaWo0ePEhoa6rK3v5SqzZ6jALx1QbKzzz3lXv+H+LkuOwqg0isAlUFVAOC5Zyfx25YjBHs1QqPRkpgWTZbbGdZ9/w1eXkVTEStV0/ffb+KF514nwKsJep0Rc1YGCemRLFg0xyHNzIpSHvauAHT0ubvc62+L/9BlKwAqE6ATio+PZ+ePu6jt0yWvzNcjiIuJSaz55lseHlI05a1SNc2Z9QH+no3R66z3cI0GN7wt9Zn1znusWLnUwdEpiuMZTHrqVqQT4K/XLpbqRlUAnNDFixcxaIrevzbpvIj897gDIiqZlJKtW7fy2fIvkRYLg++9nf79+ztdb/bySExMxs9Y+LaNm9GLs2cjHRRR9SGl5IcffuCzFZ9jsVi4977B9OvXT51XTsacmc1JF+/MV16qAuCE6tatS5ZMQUpZaLhUZm4CEZ3udGBkxXv9tWms+2o7fqZ6CKHhtUnvs23rT7zz7tuODs3hatUKIf58Cm6m/Ns2KenxtOrYrIS1FIApr77Ot6u34GEKQSB4adJ0tm37iZkzpzs6NOUaky4+nr+8VFXYCXl6evLgkHs4k/g7mVlpWCy5/Jd4DN9QQf/+/RwdXiEXLlxg/ZothPq2wcPNF3eTN6F+rfjlx/1ERqpvuS9OnkhS1nFS0uKtw8xSYzDLc4x/bqyjQ6vSzp07x3drNxHo0xB3kxduJk8CvMP58YdfOHbsmKPDU64piUWU/+HKVAuAkxox6n80bBzOJwuWkJyUwh2P9ObJp4ZiMBhKX7kSHTx4EE2Od9G86WYvDhw4QOPGjR0TWBXRvn17ln/2MbNnfcCxo8fpeH1LRo2ZXiUyEVZlBw8eRGYXzvAohCA3y8CBAwdo2LChA6NTriWDSU+9CvQB2OnCiYBUBcBJCSHo378//fv3d3QoJQoKCkLosouUa/TZTjOhTUU1b96cBQs/dHQY1UpQUBBavaVIuVYv1ZBTJ2POzObEkSK54ZQyULcAFIdq27Yt/jVNJKb+l1eWlBaDu7+Fbt26OTAypTpr3749gcGeJKfG5JWlpMbjF2Cka9euDoxMsQdZgX+uTFUAyiA7O5tjx44RExNT+sIOlpGRQWRkJImJiY4OpQiLxcKJEye4cCG/tq7RaFi8dCH127hxPnU351P3ENJYsnTFJ+h0qoFKKR+NRsPSZYto2jqI+LQjxKcdIbyZN8tWfKrOK6cjKzAVUNFWIleiPgml2Pz9JuZOnU5NrYnEbDPBzRryxqyZVTKZzqKPP+Xjj5ZgwJssmUqPm6/j9amvotfrS1/Zzvbv38/4Mc+Tk64lV+ZQs44/c+fNISQkhMDAQD75dAGZmZlIKXFzc3N0uIoTqFGjBouXfKLOK2cncPnOfOWlKgAlOHbsGAtencbY8I6YdNaL6L5zp3n1uUm8M2+ug6Mr7Mcff2Th7JU08OmBRmiQUrJ74z/MDniP5yY+69DYEhMTGfHUOIJ07TC6uwOQdCaaJx57hu82rM7rqGUymRwZpuKk1Hnl3KydAGuWe/3dP1/DYKoZVQEowdcrVtLbt07exR8gIqgu2//aRVJSEj4+Pg6MrrCP5y2hllsLNMJ6V0cIQah3M9Z8vc7hFYAN6zegM9fA6OaeV+bjEcSFqPMcOXKEZs3UmHZFUcrH2gnwvKPDqJZUH4ASJMbF42ss2mzoqdWTlpbmgIiuLDEhEaPOvVCZRmiw5EgcPd9DXFwCGooOPxRST0pKit22u337dgbdOpjunW9i8B33s3fvXrttS1EUR5FYKvDPlakKQAl69O3NnoTCw0uSzBkk60WVG6LWp38v/ks9UagsKT2WBo3rFR1jX8lu7NUTszamUEUk15JDjjaZli1b2mWb27dvZ8LIKWhj6lBb35Wcc0EMHzqeP/74wy7bUxTFMSSoCkA5qQpACXr37UNGeBCrTh3kaHwUuy6eZN6ZA0ycOqXK5RN//InH8AjL5EzyIRLSojiX9C8JhsO8Nu1lR4dGixYt6NW/C2eT9xOfcpGYpDOcTd3DuIkjcXd3L/0NyuHdt98nzK0dJoMHAO5Gb4L1LZk14327bE9RFMeRwlLuhytTfQBKoNPpeP+ThWz/8Ud+3bqdwJAg5t49mFq1ajk6tCK8vLz4as0q1q/bwO7f9tGwUQcG33MXfn5+jg4NIQRTp73G3jv2svab9Xh4enD3va/aNRtbfFwCdQzNC5V5uflz5vRuu21TKcxisbBp0ya+/WY9np4ePPjwfbRr187RYSk20dHRfPnZYs4eP0yjlh24696H8PX1dXRYV81o0lO/aWi51/+j6o/uthvh6PvD9hARESH37dvn6DAUB7pr0H3kXgjB3Zg/XDMpPZZabSQLP53nwMhcg5SS4c+MYv+vR/E21iInN5uUnLOMGPs4jz42xNHhubzjx4/z0ogHeLBlJk1rGjlwJpPVx3yYs+hrgoKCrvn2hBD7pZQR1/yNAXe9v2zk16fc6x+M+dxusVV1VasdW1GukQkvjOWC+QCpmQkAJKfHEmv5h2cnjnFwZK5h//79/L7rCLV8W+Dp5oevZxChPu348P2FpKamOjo8l/fhzClM6pFLn5Y+1AkwMaidL0NbJ/PpvNmODu2qqT4A5acqAIpT6ty5M/OXzMa3SToX2E1IG8mSVfNp2rSpo0NzCTt3/ILOUvj2k0Zo0Elv/vnnHwdFVbXFxMSwdu1aNm/eTEZGhl23deHkYZrVKtz/5vpG3vy5tzoOipdIcsv9cGWqD4DitNq1a8fSFYscHYZLCqkZTC7mIuVSk0VAQIADIqrali1ezsI5i/DPqUWuJpdpxunMXvAObdu2tcv2tAZ30s05uBu1eWXRydn4+JY/oY6jGE0GwpuGlXv9v124D4CqACiKcs3deustvD9rHhnmFNxs/TASUi5SOzyQBg0aODi6quX06dMsnL2Yzj590AjrBTk9K5XxwyeyaccGtFptKe9w9Qbc+zgfbpzJ2Jt80WoEWTkW5vyUxt3Dh1/zbdmbOTOLY0fOOjqMaskpbwFkZWWRm+vaTTuKUlksFgvnz58nOTk5r8zb25tFS+eh9YviYuoBLqTtp0FbT+Z/7NrTGhd3rDas20iwpV7exR/A3eCJMdOTQ4cO2SWOex8YQlC3J3hsVSYTvkvnia+y6XL3BHrddLNdtmdP1qmAcsv9KAshRD8hxL9CiGNCiEnFvD5LCPGH7REphEi0lbcVQvwmhPhbCHFQCHFvgXVW2N7zkBBikRCi0idtccoWgOizx3nglut5bPQL9LtloKPDURSntW3bj7w2+U0sZi3Zlkw6dW3LWzOm4ebmRtOmTVn//bfExcWh1+vx9vZ2dLgOtW3rNl5/eTpk6smypNOxWzvenPGGNVFXMZPZSLBbEi8hBE88M5ohQ58hMTERf3//aj1Loj1n9RNCaIG5QG/gHLBXCLFWSpnXmUVKObbA8iOBS+Nd04EhUsqjQohawH4hxCYpZSKwAnjIttxnwBPAR3bbkWI4ZQtAqLeWjwYa+fqDyfz111+ODkdRnNKJEyd4fuwUauS2JcwUQX336zm44z9emDi50HIBAQEuf/E/fvw4L417gzo5nWhouo7m7jcRuSOGlya9wi0D+hMlTpNryclbPjUrhWz3NLtlyrzEYDAQFBRUrS/+lTAdcCfgmJTyhJQyC1gFDCph+fuBlQBSykgp5VHb/y8A0UAN2/MN0gbYA5S/I0M5VeffeoncDVqGRRj5evlCWk1/zyExSCk5deoUFouF8PBwh6fkzcrK4sSJE/j6+la5VMZK1Zaens6pU6cICQnB398fgKWLV+At66HXGfOWC/FqwK6ffyY1NRVPT0+7xRMdHU1cXBzh4eEYjcbSV7AjKSUnT55ESnnFz/myxSsItDTCoMufmbCWZ2N27dzGa9MC+N+EJ/lw5nz8skOwaHNJM8UzZ/675co4mpWVxfHjx/H39yc4OLhC+1YdGE0GGjatXe71j5beCTAUKNjJ4BzQubgFhRB1gfrAtmJe6wQYgOOXleuBh4HRZY35WnHaCgBAsLeBhH+iHLLtEydOMP5/49Ak5qIRgky3XN76YAbNmzcvfWU7WLd2HXOmzcZf+JBmSadW0zBmvv9OlfxmFhkZyay3ZnHi3xMEBgXy9Nin6d6ju922Z7FYWLliFSuXfE5GRiZde3RhzPhReb3VN274noVzF5GYkETLNs0Z//xY6tSpY7d4qpqPPpjP8kWrcBd+ZMoUrrsxgqlvvUbUfzGY9B6FlhVCoNOY7FYBSE9PZ9zo5zi4/1/0wo1sTSqjxj3NffffW/rKJbhw4QLvTJ/N/r0H8PTy5IlnHmXQoNtKrbQfP36cEU+NITNeIhDofSRzPppZZLhp1H8xuBkKHw8hBHphPVb3PXAvffv3YdeuXbi5uaHVapk+5W2i/4umdr3ajHt+LC1atCh1P75b8y0LZ8yitt6DhJxMAhqHM23Ou3h5eZW6bnVlzswi8sjpirxFoBCiYOa4BVLKBQWeF3cSXCmD3n3AV1LKQp0LhBA1gWXAI1LKy5sdPgR2SCl3XmXcFeaUtwAu+fFoKh179q307ebm5jLq8eF0ym5M/6Dr6VujGz11bRn7xCi7j+8tTmRkJB9MmcMtvr3o4d+F/oG98Dim44Vnn6/0WEpz4sQJnnngabyPetLPuzeNEsN5Y/TrbNm0xW7bnD71bZbP+JoGGRG0095I5Mb/eOjuR8jIyGDlis95e+J7BCc0o42uF3G7LTxyz1CiohxTsaxsmzdvYeX8b2nldjMN3TrS0r0Xf245zZx336N33xtJzCo8WVZWTiZ6N2mXbHIAk198laO7E6jv3pUwt3bU0Xdl1pvzKzTJU3x8PA8MfoTDPyZQh254JjTm7ZfmsXD+JyWul52dzbBHhuOX2JTG7l1p5H4dNVJb8NSjIzCbCw+BvLnvjcRlnSlUZs7JQOduoUaNGgD4+fnRv39/dFodr4ycQs2ouvRw6433yQBGPDyKw4cPlxjP4cOHWfbWuzxbryMP12nNqPBONL6QxpSJVe9zfi3JiucBiJVSRhR4LLhsE+eAgk0MYcAFincftub/S4QQ3sB64CUp5a7LXnsF6y2BceU/AuXnlBWAzBwLS3bHsz2hFnfefV+lb3/Pnj34ZXpQwyN/vLOvyZuw3EB++umnSo/n82WraGFsgkGb38m0oW84x/48SlJSUqXHU5L5782njaE1IZ7Wpksfkw89A7rz/gz73MZJSkpi4zdbaOHbCYPOiBAa6vg0QB/nzbrv1rPgg49p5Xs9bnoPhBAEe4USkFGfxZ8stUs8Vc2nC5ZSz9QGIfL/VNTzas7a1RsYMPBWajZx52zSXyRnxBGdfJqzmXuYMm2yXSbLMpvN/PrTHoK98ocRajVaArSNWPzJsnK/76rPPkefEkwNrzCEEBj17jTw7siST1aQlZV1xfV2796NSPHAy5Sf8MjD6IMhzY+dOwt/mRt42wACGxs4kfwHSRmx/Jd8kmPmX3ll2ktFjtWc6e/RybsbPiZrXv4A9xq0MrXn/ZkflLgfXy37jL7+9TBq8xt2OwbV5cQfh+w67XZVYOc+AHuBRkKI+kIIA9aL/NrLFxJCNAH8gN8KlBmAb4ClUsovL1v+CaAvcH8xrQKVwilvASTkuBPYbxIfDRyEyWQqdfn09HTWrV3LX3v2ULtBA+68914CAwPLvf2UlBRM0lCk3GgxkOyAC25SQhIeerci5SaNgbS0NHx8fCo9pis58vdhOrt35I8Lf3Ix+SK+7r60CmlFenI6Uspr3o/i7NmzeGn8iryvr7YGB/b9gcjWoTMU/pgEuofw95+ukc0uJTmFmpedOxqhJTfbgsFgYPlnn7J+/Qa2btpOSGgzHh7yOnXr1q3wdo8dO8aqz74gMSGZ/gN6c+ONN2I2m9EIXZHflVHnRkJ8+T9Xf/5+CG9D4c+7RmjRS3fi4uKoWbP45DgpKSlocosZuZWrL1KxNhgMLF35KevXbWDb5p+oGdqIB4dMLvZYJcQm4HlZk32QRzA/H91a4n4kJyTQ1FD0c+6h1ZORkeHEtwEkFmm/Yd9SyhwhxAhgE6AFFkkp/xZCvAbsk1JeqgzcD6yShSfYuQfoAQQIIR61lT0qpfwDmAecBn6zndOrpZSv2W1HiuGUFYBatetw191luyeYnJzM0w88QOtsSRc/P85EHmfY51/w1scLady4cbm2HxERwbtyOh0tuWg11rG9FmnhFBfp2q1bud6zIm665WaW7V5EsGd+s2xqVho57vKKf9wcpV6D+iz/4jMaGOpT11CbhIQkPr/4BTWaBNmlE2VYWBiplsQilYuk3Fhu7dCNX3fsIseSg06T/1GJS4+iQ+tm1zyWqqh3/5vYtGgvdX3y9zc+PYrGza3fwg0GA3fccTt33HH7NdvmunXref2FmfjKehh0JnZvnc3X163hg4/m4FfDk/S4lEKTPMVmnOL+2x4o9/ZatmnO2j278CzwTd4iLWSLjBKzFnbs2JE0/Qws0oLG1kIipYV0QxTXXXddkeUNBgN33Hk7d9xZ8rHyDfC19qEo0GcgJi2aek3qlbhez1v68tOM+dT2zt+P+Iw0zO76vNsMzshoMtKoafkrnafLkP1YSrkB2HBZ2cuXPX+1mPWWA8uv8J4Ov/46PABHW77oU7pZNPQKrwdAuJ8/9ZN8eHfKFOatWFGu9/T39+fBZx5h1dxltDSGI4SGfzJPcMuDAwkLq/SRHvTp24dvv1jDjr9/o56xNqk5qUTmnmTq3LccPjLhct5+3tTR1aaJe2N0Gh1+Oj8M6InXJ9ple76+vtw88EZ+/WYvTbzbotPoOJd8GrNfIgMHDiArM4tFM1fSzKsjRp0bsWn/EWM8ziOPv2qXeKqaoU8+xrYt2zl+7g98NEGkWhLJ9Ixi8dSFdtleVlYWb06ZSQOPruhst6z8CObgb3vZvXs309+ZyrBHR2BMCsGo9STVEkVYcx9ur0AF5MGH7+erVWuIS3XH36Mm2blmzqb9yYNP34PBULQl75LAwECGDh/CovdX4G+phxCCOE7xwJMVmzJ85HMjeG3MVDp4d8bb6ENCRjwHM/Yx97mSbwH069+fjavXsPL4n7TzCibWnMbO9Chefu+dKvc5v5bMmWYij5x0dBjVkstPB/zQwIGMCw7DTV+4Ke/Fg7/z9c87K/TBiYyM5LvVa8nNzeWWQbfafUxvSSwWC2vXrmX1F6upFVqL0eNGV7lv/wB39L2DdhmtiY+Ow2zOQqfTUiO4Btszf2br3q12+UNmsVhY+ulSPl/+FebMLDp368i4iWPyvjV9t3YdH89dRHJyKk1bNGbCi89Sv379ax5HVZWVlcX3G79n3+7fCW8Uzp133W630SOHDh1ixJAXqePerlB5TMo5ut4ZzuRXXiA2Npavv/qGc2fO0/2GrvTq1euK49gzMjLYtWsXUkq6dOmCu7t7scudPXuWGW++y5+//4WHlwePPfkwg+++q0zn27///ss3X32LxSIZdOeAMvXWL83PO39m7rsfERsVS2idWox9fgxt2rQpdT2LxcJP27eze/tOAkKCGDT4Lrt1yCy4zQMHDhATE0ObNm2K/btiz+mADXpPGeJb/jkTzsb+4rLTAbt8BWDko48yKAdCvfL/oGXn5vLykUOs2VH5HfbsZe6cD1i7bA21NMFkCjNpXmbmLZ1foW8q9jD0gaGEXgjBzy2/GTPXksv3yVv44bcfHBiZUhnOnTvH/bcNpb574Sb084mR3D38Bp5+ZliZ3+vXX39j/Ojn0Zut51KWIYGpb79Cr143XtOYXVl0dDQTJoykYSNvwmr78fPOo7RqdT2jRo4rVHmyawVA5ymDfFuXe/3zcb+5bAXA5W8B3Dt0KItfeJFRzVqh12qRUrL21HF6315SoqfqZd++fXy/ZD0DQnrn3au8mBLFhJHPsfzr8t3msJchTw1h+pi36GW8Aa3G+vs4EPcHtz14m6NDUypBWFgYdRoFE/PvWWp4WkdembMzSDdc4M67yt7Mn56ezvhRzxOq64TB29oRODvHzIvjX2XT9g5VMv9FdfTmW6/yv5Hd6NChEQAPPXwDr7z8OTt27qBnj56VEoPJZKRx03rlXv/8L7+VvpCTcqkKQE5ODklJSfj6+ubNsHV99+6cH/YkLy9YSKjRSLTZTPteN/LUqFEOjvba+WbValp6NM27+APU9Armj3N/ExcXV6WmZ+3Zsydnx5xl8UeL8cKTVEsq3fv3YPio6jdLWXWXkpKClLLSL5YfzJvDmBHjOXb4Z3QaIzr3XGa/N/2qmrJ37dqFPssPQ4FRQHqdEX1qIDt37uTWW2+1R+guJS0tjfj483TokD/fihCChx6+nmVL1lZaBSAz08y/R05UyracjUtUAKSULFu8gPWrFxHkLYlO1nL3wyMYfM+DANz78MPcce+9XLhwgYCAAKcbLmOxWBDFJLMSUCVnTXzokYe45/57uHDhAoGBgXZNKasUFRUVxaSxz3Mm8hwCQUi9IN6a/WaldWD18/NjyYpPiIuLIy0tjbCwsKvOK2CxWEAWc/9eWr8IKBUnpUSjKXqMtVotFktl/l2ROGgYfbXnlImALrdm9Rec+PUjloxyY/YTniweaWT3d2+z9Yf87HIGg4F69eo53cUfYMBdAzmcfpSC/T1i0+NwC/K0eweh8rr0+1AX/8plsVgY9vBTuB33oadvH3r49sb3XAhPPjSs0i+cAQEB1KlTp1xJhbp06UKWIZ6c3PxEPjm52ZgNsfTo0eNahumyPD09cXcP4J9/8jMcSin54vNfuemmymthkYClAv9cmUu0AKxZtYDZj3ij11n/kBj0Gsbd4cWry97nppt7Ozg6++vatSsdB3Zh4/pthFqCydCaiTUlMneOa8/NrhS1f/9+iNcR4huaVxbkGcyFhDP88ssv9OxZOc26FeXp6clrb77E5EmvYzBbk/yYDbG8NGU8fn5+paytlNXzk6YwceIIOnauTe3avuz46Sg1ajThpl43VWIU0q7TATszl6gAZJnT8PYoPPynhq+e5KR4B0VUuYQQvPDqi5x85CR79uwhMDCQ7t27lzjGWXE+O3bsYOF7C4mNiaN95/aMGDu8yJCtmJgYjLlFs8kZso1XPf9BWlBiqQ0AABXSSURBVFoa8z9cyJYNP2A0GXngkXsZfM9gu6QJLk7vPjfTqXNHtm/fTm5uLjfccEPeTIbOQkrJt6u/4ZtlK0hLS6XbzTcx9JmnK63fRlhYGIsXf8nPP/9MdEw0I4YPoVGjRpWy7UtMJiNNKtAJMPrXA9cumGrGJSoAYfWa8ffJf2hRP3/msl3/JNO89Q2OC8oB6tev71Lj15V8q79azfw3FhDh3ZHmxlac2X6aR355lM++XVEo7XXbtm2J18wulBlRSkm8PoaIiLKPlMrNzeWR+x9DnPagte/1ZKdms3ja5xz++19eeX3yNd+/K/Hx8WHQIOcZ0XO592e+w/HvNvNo7Ua4+xrYtW03T+/8mcWrv6q0Cr5er+fGGx03tDIz08yRw8dLX1ApwiX6ADwzZjJvroEt+xO4EGtmw+4E5m4xMvTpZx0dmqLYncViYd6s+XQP6Im3yQeN0FDPtz61s+qw/NPCWUpr1apF7ztvZnfcDmLToolLj2Fv/C906dOR8PDwMm9z+/btmM9CI/8WaDU6TDo32vh3YfuGncTGxl7rXXRJycnJ/LTmO4Y0aIWP0Q29Rkv30PqEp1vYsmmTo8OrRNLekwE5LZdoAQgPD2f2wrV8sfJTfvjpbxo2a88Hi4ZUqeFvimIvKSkpaLO16D0KZ7us5RHKwd8PFll+wgvPcV33Lnz92Wpyc3IYc98Ibrrp6u7p/vXH33gTSFp6OsmJSWi0Gnx9ffHGnxMnThSZbCsrK4tNG7/nzz37qde4AbfdYb9sg45yKUvfnh07CAgK5rYKZuk7deoU9UyeRbIVNvHw5Z8//uTWgQOvsKZzkaBGAZSTS1QAAIKDgxk5ZpKjw1CUSufp6UmWJovcApNTAcSkR9OwacMiywsh6NGjR4V6yzdoVJ8vo7/DkpuLu1aPRUrOxidywfNMkeGEqampPHH/EEISNIS71eDwzqN88cky3l/28TWZWbAqyMnJYeywYbifPkMn/wCi9/7O0ytW8OKc2XS4ilsrBYWGhnLOnFak/HRGCk2blG8is+pJIu04G6Azc5kKgKK4Kq1Wy/2P3cd389fRwbcjRp2R2LQYIuW/TH7iRbtsM6x2GOfT/iXYFICftiYWLJzPOE5i2n9FeuEv+WQRjZLc6FKrCQANqElokj/TX3mdDxd/bJf4KtumjRvxPXOOB5tYZ1VsAbSuUYMZL01m5cYN5ZrjIiAggGbdruPbvX9xS+1G6DQa/omN4oBMZ9yAAdd4D6ouk8lI06YNyr3+r7v/vYbRVC8uWwHIzs7mwIED5OTk0KFDB4xGY95rFouFgwcPkpKSQtu2bZ0yN0B1YrFY+PPPP0lNTaVdu3ZXlRvg1KlTnD59moYNGxIaGlr6CsWQUnLkyBFiYmJo0aJFuW8dVWQ/KmrosKF4enqy/JPlZCRlUrdhXT56+cNyH5PS7Nr5Cw81v44jsRfZFX8QIaBjaH3CPVtx6NAhOnbsmLfs9o0/8ECNwhPd1PUJYt2RbXaJzRF2btrEjcHBhcoC3N1xzzQTExNT7lsBL019nU8+msf01d+Qm51D03Zt+eCFGVec9MgZZWaaOXzkqKPDqJZcsgLw559/Mm3qBFq39kGnFcyeFceYsVPo2rUbZ86c4cVRj9PAPQE/k4UPz2m496mJ3H7XPY4O2yWdOXOGMU8MxzNNizt6pubEMmz8CO68+64S18vKyuLZ4WM5ffAUfvgQK+NpfX1b3pgxNS8NdFkkJCQwYuhwMs6n4oUHFy0xDLz/NkaMHXlV39rOnDnDyKHDMaXoMUgD/1mieXrCcO4qZT+uFSEE9z14H/c9eF+lbM/LxwehEzzRrleh8lXn9xSpUHv7+JCSnkGAW34fhVxLLmidp4+yt68fSRejwadweVpuDm5uRYddlpVOp+OpkSN4auSICkZYjUnVB6C8XK4CkJWVxdSp45k+7Xpq1LD+IUpKymDss5Np0eIbXnn2KSZ2TKFRiLUD0uM5FkZ/PI3W7SKuqhe0UnFSSsY/M5oeNKJmsLXTWI4lh0Vvz6VdRPsShzTOnf0BGX+m0LfGDXllv+3cx2fLVvDwo0PKHMPLEycTHOVHg0Dr9LQWaWHris207diO7t27l3k/xj41mvbZzQgKsE4xnJ2bw4K3PqJ9KftRXd0y8FZWffQJrc118TJav42eTorG7GugSZMmhZa9b+gQlk5+h3vqdMmbr2LHf4fpc7vz5Ou/48EHeOOJJ2kSEIDRNnXxrvPnqdO6lWphrDCVCKi8XK4CsGvXLjpFBOZd/AF8fNzofXMoX375Jf4yhkYh+a8ZdBruaSnY+O1XDB87wREhA2A2m9FoNOj1+tIXdhInT55Ek5BNzZD8HuM6jY72pnDWfv0to8ePueK6m9duon9A4bHJ7f1bsfqzr8tcAcjMzOTIgcPcHtQvr0wjNLT2bM4XSz8vcwXg5MmTWOJzCAqskVem1+popm/Ad9+sZdS40cWuZzab0Wq1V5zrvirz9/dn8uy3mDpxMoEWE5mWbDQ1vHjnw7lFWk5u7n0zJ48eY96yL6hl8CEmK4VW3TsxfIzzTMjVrFkz7p/wHK/OfIf6JhNxWVn4NGzI1LfecnRo1Z61D0DRzqxltXvPyWsYTfVS/f6yVFBOTg5GY9GmRaNRQ3JqBoZiWodNOkGWObMSoivq9OnTzJj5OklJUWRn59K0aVueHfe8S3xryMnJQSeK/kJ0Gi1ZZnOJ6+bm5ha50Gg1WnLMZc9nb7FY0Iqi54peqyM7K7vM75OdnY1OFP2o6YSOzIyi59WpU6eY+fpzJEUdIzsXmrXrwbMvTK128yJ07tKFNT9u4tixY5hMJurUqVPsckIIhg1/hgcfHcLp06cJCQlxuox9AAMGDaJP//4cP34cPz8/QkJCHB2SU8jINHP4SKSjw6iWnOcmWxl17NiRnb/8R3p6/iQh2dm5bNp8jsGD7+ZUqjsxKfmvSSn59oiFXv0rP5tYeno6EyeN4JnhnVi89H8s/2wEna/z5IUXXSOBUcOGDUnSm0kuMNRJSsnBjNP0Hdi/xHU7de/C0YTCU4T+HXeE3gP6lHn77u7u1KgTTFRqdKHyf5IjueXOsjdPN2rUiDRjBqlZhfcjMvsE/S7bj/T0dCaNeIBn2h/l0ydMLBtmpKNhGy8+O6zM26tKNBoNjRs3vuLFvyAPDw+aN2/ulBf/SwwGA82aNVMX/2tKgrSU/+HCXK4FwMvLi6FDxzN63Axu7V8XrVawYeNp7rjzSUJCQpjwxhyenTiMvvVTCTBJNp3Q0KTH3bRu3brSY93yw2Zu7t2Epk1rA9ZvSn36tGPLpr85ceKE0/dJ0Gg0THlnKi8Mf44mmmDcMHAk+wLd7+xT6u9j/AvjGXr/Y8TGxOOPLzHEow0z8MTTT15VDG+8M5WnHx5GULQ/nsKDCzKaup3qM2Bg2YdZaTQaXnvnDSb9bwL1CMUoDZyynKPX3b2L7MfmTRvo0yiZJqHWFh4hBH3aerL5yGFr4pd69a4qfkVxDa59IS8vl6sAAPTt25/27SPYtu0HcnKymf72zdSqVQuAdu3a8fHX29iyeROJSQmMG3kjDRuW//5SRURFXaB+g6JDzurU9ScqKsrpKwAA7Tt04IvNa9iyaQvJyck8eUMPGjQofcyvr68vX6z7ih07dnD86HGat2xOly5drnoimrp16/LN5m/ZunUr/52/yLDOHWnduvVVj9uOiIhg9Q/5+zHuCvsRdeEMDQOK/jGr62chKipKVQAUpRhqFED5iIJzxDuLiIgIuW/fPkeHUWF79uxh4/fzeenlwXllFouFxx+dx3tzlqppTZ3Qrl272Dz/SV4YlH+/32KRDF1k5v3lP+Lr6+vA6BSlfIQQ+6WU5Ut5WAoPDy/ZokX7cq+/d+8Ou8VW1blkC0B1ERERwWcrP2X+vO8ZdHsn0tPNLPr4R7p3768u/k6qU6dOrFzchoVbf+e2Dm6kZlhYtCOLngOGqYu/ohQjMzOTw4ddN5tfRagWgCouOzubtd99y08/bcJoNDFgwGB6dO9RrtShimPFxMSwcd0aUpMTuP7GfrRq1arY32N2djbffvMVP23+Gjd3T26961F69ryh8gNW7Co5OZmNG9cTGxtFu3adynWLqrqwZwuAVquX7u7l/0KUmhrjsi0AqgKgKJXg119+5oOpIxncLgtfN9jwt5bAZrcycfI0VZlzQZGRkbz88lgG3NaCsFA/du48RnyckRkz3quWeR9KY98KgE66u5W/dSw1Lc5lKwDOd6YpShWTm5vLe28+x9wHdfh4mADo3kLy0pfrOHDgbtq3L//9S6V6mjHjNd6Ydjt161rnAOh2fXM+nLuJ9evXMWjQ7Q6OrvpRmQDLp9pUAIQQ/YA5gBb4WEqpUmgp1UJkZCRNamTmXfzBOrzv1taSHT98pyoALiY5ORlJWt7F/5IBA9sz78MfVAXgKplMJpo1a1L6glewb9+uUpcp7fojhHgUmAGctxV9IKX82PbaI8BLtvI3pJRLbOUdgMWAG7ABGC0ruUm+WlQAhBBaYC7QGzgH7BVCrJVS/uPYyBSldO7u7iRnFC1Py5S41fCu/IAUh9Lr9WRmFM0kmZKSgZub68zid61YOwEettv7X8X153Mp5YjL1vUHXgEiAAnst62bAHwEDAN2Ya0A9AM22m1HilFdepx0Ao5JKU9IKbOAVUDlp+ZTlHKoW7cuKdpQDp1OzytLN+eycq+OW24bXMKaijNyc3Ojbt2mbNv6V15ZTk4uny7ayW23qVlHr54EWYFH6Spy/ekLbJFSxtsu+luAfkKImoC3lPI327f+pUClN/1UixYAIBQ4W+D5OaCzg2JRlKv2+syFvDhuKIF7LuLnLvnjvI4nRr9F7dq1HR2a4gATJ77MSy+NZ/36vwgL8+PA72cYMOA+IiJcsi9ahZhMJpo2a1ru9ffv31PaImW9/twlhOgBRAJjpZRnr7BuqO1xrpjySlVdKgDFdZMuVHUTQgzD2pwCYBZCHLJ7VNVXIBDr6CCqqEo7Nl9svKUyNnOtqXPnyip0bFat2shDDz1yDcOpUsp/k74U6enpm/bv3xNY+pJXZBJCFBw2tkBKuaDA81KvP8B3wEoppVkI8TSwBOhVwrpleU+7qy4VgHNAwa9KYcCFggvYfmELAIQQ+1x1WEdZqONzZerYlEwdnytTx+bKLrvAXlNSyn6lL1UhZbn+xBV4uhCYXmDdGy5bd7utPKyk96wM1aUPwF6gkRCivhDCANwHrHVwTIqiKIrzK/X6Y7unf8ltwKVeiZuAPkIIPyGEH9AH2CSlvAikCCG6CGsikCHAt/bekctVixYAKWWOEGIE1oOpBRZJKf92cFiKoiiKk7vS9UcI8RqwT0q5FhglhLgNyAHigUdt68YLIV7HWokAeE1KGW/7/zPkDwPcSCWPAAAnzQQohBh22T0cpQB1fK5MHZuSqeNzZerYXJk6NlWTU1YAFEVRFEUpWXXpA6AoiqIoyjXkdBUAIUQ/IcS/QohjQohJjo6nsgkhagshfhRCHBZC/C2EGG0r9xdCbBFCHLX99LOVCyHEe7bjdVAI4fR5aYUQWiHEASHEOtvz+kKI3bZj87mtow9CCKPt+THb6/UcGXdlEEL4CiG+EkIcsZ1D16lzx0oIMdb2mTokhFgphDC58rkjhFgkhIguOOS6POeKEOIR2/JHhTVtrlJJnKoCIPJTNvYHmgP3CyGaOzaqSpcDPCulbAZ0AYbbjsEkYKuUshGw1fYcrMeqke0xDGt6Smc3mvxeumAdsjPLdmwSgKG28qFAgpSyITCL/KE9zmwO8L2UsinQButxcvlzRwgRCowCIqSULbF2BrsP1z53FmNNX1vQVZ0rIj9VbmesGfdeuVRpUOzPqSoAqJTBSCkvSil/t/0/Besf8FCsx2GJbbEl5KedHAQslVa7AN/LhrQ4FSFEGHArcGmiDoE1YcdXtkUuPzaXjtlXwE225Z2SEMIb6AF8AiClzJJSJqLOnUt0gJsQQge4Axdx4XNHSrkDa4/3gq72XCk2Va79o1fA+SoAV0q76JJszY7tgN1AsG3sKbafl6Yic7VjNhuYAHnzhwYAiVLKHNvzgvufd2xsryfZlndW4UAM8KntFsnHQggP1LmDlPI8MBM4g/XCnwTsR507l7vac8VlzqGqyNkqAFUivWJVIITwBL4Gxkgpk0tatJgypzxmQogBQLSUcn/B4mIWlWV4zRnpgPbAR1LKdkAa+U24xXGZ42Nrlh4E1AdqAR5Ym7Uv56rnTmmqdEpcV+VsFYBSUza6AiGEHuvFf4WUcrWtOOpS86ztZ7St3JWOWTfgNiHEKay3h3phbRHwtTXrQuH9zzs2ttd9KNrk6UzOAeeklLttz7/CWiFQ5w7cDJyUUsZIKbOB1UBX1Llzuas9V1zpHKpynK0C4PIpg233GT8BDksp3y3w0lrgUg/bR8hPO7kWGGLrpdsFSLrUhOdspJTPSynDpJT1sJ4b26SUDwI/Apfm5b382Fw6ZoNtyzvttxMp5X/AWSHEpYlbbgL+QZ07YG367yKEcLd9xi4dG3XuFHa150qxqXIrO2iXJaV0qgdwC9bpGI8DLzo6Hgfs//VYm9AOAn/YHrdgvf+4FThq++lvW15gHTlxHPgLay9nh+9HJRynG4B1tv+HA3uAY8CXgNFWbrI9P2Z7PdzRcVfCcWkL7LOdP2sAP3Xu5B2bKcAR4BCwDDC68rkDrMTaHyIb6zf5oeU5V4DHbcfpGPCYo/fLlR4qE6CiKIqiuCBnuwWgKIqiKEoZqAqAoiiKorggVQFQFEVRFBekKgCKoiiK4oJUBUBRFEVRXJCqACiKoiiKC1IVAEWpRMI6XfNJ2yxo2BKgnBRC1BVC1BS2KYqv4v1mCiF62SdaRVGcmaoAKEolklKexToV6lu2oreABVLK08A4YOFVvuX7lJyvX1EUpVgqEZCiVDLbXA37gUXAk0A7KWWWEOIE0ExKaRZCPIp1KlUt0BJ4BzAADwNm4BYpZbzt/fYDt0prKl9FUZQyUS0AilLJpHUymeeAWVhna8wSQtQHEqSU5gKLtgQeADoBU4F0aZ2l7zdgSIHlfsc60ZGiKEqZqQqAojhGf6x51FvantcEYi5b5kcpZYqUMgbrfPLf2cr/AuoVWC4a6xS1iqIoZaYqAIpSyYQQbYHeQBdgrG3a1AysE8gUVLA1wFLguQXQFXjNZFtfURSlzFQFQFEqkW0q2Y+wNv2fAWYAM7HOYFmvnG/bGOsMdYqiKGWmKgCKUrmeBM5IKbfYnn8INAUigONCiIZX82a2DoUNsU7hqyiKUmZqFICiVBFCiDuADlLKl65ynfZSysn2i0xRFGekK30RRVEqg5TyGyFEwFWupsM6RFBRFOWqqBYARVEURXFBqg+AoiiKorggVQFQFEVRFBekKgCKoiiK4oJUBUBRFEVRXJCqACiKoiiKC/o/suEB4uN172kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x17311eb1308>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "GSLIB.locmap(df,'X','Y','Wts',xmin,xmax,ymin,ymax,0.5,2.5,'Well Data Weights','X(m)','Y(m)','Weights',cmap,'locmap_Weights')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Does it look correct?  See the weight varies with local sampling density?  \n",
    "\n",
    "Now let's add the distribution of the weights and the naive and declustered porosity distributions. You should see the histogram bars adjusted by the weights. Also note the change in the mean due to the weights. There is a significant change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Porosity naive mean is 0.135.\n",
      "Porosity declustered mean is 0.121.\n",
      "Correction of 0.1002.\n",
      "\n",
      "Summary statistics of the declsutering weights:\n",
      "DescribeResult(nobs=289, minmax=(0.2819756671865989, 3.984325446814365), mean=0.9999999999999996, variance=0.40927076480664726, skewness=1.9395015754905447, kurtosis=4.287460624778004)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(221)\n",
    "GSLIB.locmap_st(df,'X','Y','Wts',xmin,xmax,ymin,ymax,0.0,2.0,'Declustering Weights','X (m)','Y (m)','Weights',cmap)\n",
    "\n",
    "plt.subplot(222)\n",
    "GSLIB.hist_st(df['Wts'],0.5,2.5,log=False,cumul=False,bins=20,weights=None,xlabel=\"Weights\",title=\"Declustering Weights\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "plt.subplot(223)\n",
    "GSLIB.hist_st(df['Porosity'],0.05,0.25,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity\",title=\"Naive Perm\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "plt.subplot(224)\n",
    "GSLIB.hist_st(df['Porosity'],0.05,0.25,log=False,cumul=False,bins=20,weights=df['Wts'],xlabel=\"Porosity\",title=\"Declustered Porosity\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "por_mean = np.average(df['Porosity'].values)\n",
    "por_dmean[0] = np.average(df['Porosity'].values,weights=df['Wts'].values)\n",
    "\n",
    "wts_mean[0] = np.average(df['Wts'].values)\n",
    "wts_std[0] = np.std(df['Wts'].values)\n",
    "\n",
    "print('Porosity naive mean is ' + str(round(por_mean,3))+'.')\n",
    "print('Porosity declustered mean is ' + str(round(por_dmean[0],3))+'.')\n",
    "cor = (por_mean-por_dmean[0])/por_mean\n",
    "print('Correction of ' + str(round(cor,4)) +'.')\n",
    "\n",
    "print('\\nSummary statistics of the declsutering weights:')\n",
    "print(stats.describe(wts))\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=2.5, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's look at the plot of the declustered porosity mean vs. the declustering cell size over the 100 runs. At very small and very large cell size the declustered mean is the naive mean. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(111)\n",
    "plt.scatter(cell_sizes,dmeans, s=30, alpha = 0.2, edgecolors = \"black\", facecolors = 'red')\n",
    "plt.xlabel('Cell Size (m)')\n",
    "plt.ylabel('Declustered Porosity Mean (fraction)')\n",
    "plt.title('Declustered Porosity Mean vs. Cell Size')\n",
    "plt.plot([0,2000],[por_mean,por_mean],color = 'black')\n",
    "plt.plot([200,200],[0.10,0.16],color = 'black',linestyle='dashed')\n",
    "plt.text(300., 0.136, r'Naive Porosity Mean')\n",
    "plt.text(500., 0.118, r'Declustered Porosity Mean')\n",
    "plt.text(230., 0.154, r'Minimizing')\n",
    "plt.text(230., 0.150, r'Cell Size')\n",
    "plt.ylim(0.10,0.16)\n",
    "plt.xlim(0,2000)\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=1.2, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The cell size that minimizes the declustered mean is about 200m (estimated from the figure). This makes sense given our previous observation of the data spacing. \n",
    "\n",
    "### Kriging-based Declustering\n",
    "\n",
    "Let's take the standard 2D kriging method and modify it\n",
    "\n",
    "* we will sum the weights assigned to each spatial data\n",
    "\n",
    "* calculate the weights as the normalized sum of the weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def declus_kriging(\n",
    "    df,\n",
    "    xcol,\n",
    "    ycol,\n",
    "    vcol,\n",
    "    tmin,\n",
    "    tmax,\n",
    "    nx,\n",
    "    xmn,\n",
    "    xsiz,\n",
    "    ny,\n",
    "    ymn,\n",
    "    ysiz,\n",
    "    nxdis,\n",
    "    nydis,\n",
    "    ndmin,\n",
    "    ndmax,\n",
    "    radius,\n",
    "    ktype,\n",
    "    skmean,\n",
    "    vario,\n",
    "):\n",
    "    \"\"\"GSLIB's KB2D program (Deutsch and Journel, 1998) converted from the\n",
    "    original Fortran to Python by Michael Pyrcz, the University of Texas at\n",
    "    Austin (Jan, 2019).\n",
    "    :param df: pandas DataFrame with the spatial data\n",
    "    :param xcol: name of the x coordinate column\n",
    "    :param ycol: name of the y coordinate column\n",
    "    :param vcol: name of the property column\n",
    "    :param tmin: property trimming limit\n",
    "    :param tmax: property trimming limit\n",
    "    :param nx: definition of the grid system (x axis)\n",
    "    :param xmn: definition of the grid system (x axis)\n",
    "    :param xsiz: definition of the grid system (x axis)\n",
    "    :param ny: definition of the grid system (y axis)\n",
    "    :param ymn: definition of the grid system (y axis)\n",
    "    :param ysiz: definition of the grid system (y axis)\n",
    "    :param nxdis: number of discretization points for a block\n",
    "    :param nydis: number of discretization points for a block\n",
    "    :param ndmin: minimum number of data points to use for kriging a block\n",
    "    :param ndmax: maximum number of data points to use for kriging a block\n",
    "    :param radius: maximum isotropic search radius\n",
    "    :param ktype:\n",
    "    :param skmean:\n",
    "    :param vario:\n",
    "    :return:\n",
    "    \"\"\"\n",
    "    \n",
    "# Constants\n",
    "    UNEST = -999.\n",
    "    EPSLON = 1.0e-10\n",
    "    VERSION = 2.907\n",
    "    first = True\n",
    "    PMX = 9999.0    \n",
    "    MAXSAM = ndmax + 1\n",
    "    MAXDIS = nxdis * nydis\n",
    "    MAXKD = MAXSAM + 1\n",
    "    MAXKRG = MAXKD * MAXKD\n",
    "    \n",
    "# load the variogram\n",
    "    nst = vario['nst']\n",
    "    cc = np.zeros(nst); aa = np.zeros(nst); it = np.zeros(nst)\n",
    "    ang = np.zeros(nst); anis = np.zeros(nst)\n",
    "    \n",
    "    c0 = vario['nug']; \n",
    "    cc[0] = vario['cc1']; it[0] = vario['it1']; ang[0] = vario['azi1']; \n",
    "    aa[0] = vario['hmaj1']; anis[0] = vario['hmin1']/vario['hmaj1'];\n",
    "    if nst == 2:\n",
    "        cc[1] = vario['cc2']; it[1] = vario['it2']; ang[1] = vario['azi2']; \n",
    "        aa[1] = vario['hmaj2']; anis[1] = vario['hmin2']/vario['hmaj2'];\n",
    "    \n",
    "# Allocate the needed memory:   \n",
    "    xdb = np.zeros(MAXDIS)\n",
    "    ydb = np.zeros(MAXDIS)\n",
    "    xa = np.zeros(MAXSAM)\n",
    "    ya = np.zeros(MAXSAM)\n",
    "    vra = np.zeros(MAXSAM)\n",
    "    dist = np.zeros(MAXSAM)\n",
    "    nums = np.zeros(MAXSAM)\n",
    "    r = np.zeros(MAXKD)\n",
    "    rr = np.zeros(MAXKD)\n",
    "    s = np.zeros(MAXKD)\n",
    "    a = np.zeros(MAXKRG)\n",
    "    kmap = np.zeros((nx,ny))\n",
    "    vmap = np.zeros((nx,ny))\n",
    "\n",
    "# Load the data\n",
    "    df_extract = df.loc[(df[vcol] >= tmin) & (df[vcol] <= tmax)]    # trim values outside tmin and tmax\n",
    "    nd = len(df_extract)\n",
    "    ndmax = min(ndmax,nd)\n",
    "    x = df_extract[xcol].values\n",
    "    y = df_extract[ycol].values\n",
    "    vr = df_extract[vcol].values\n",
    "    \n",
    "# Make a KDTree for fast search of nearest neighbours   \n",
    "    dp = list((y[i], x[i]) for i in range(0,nd))\n",
    "    data_locs = np.column_stack((y,x))\n",
    "    tree = sp.cKDTree(data_locs, leafsize=16, compact_nodes=True, copy_data=False, balanced_tree=True)\n",
    "\n",
    "# Summary statistics for the data after trimming\n",
    "    avg = vr.mean()\n",
    "    stdev = vr.std()\n",
    "    ss = stdev**2.0\n",
    "    vrmin = vr.min()\n",
    "    vrmax = vr.max()\n",
    "    \n",
    "# Track the sum of weights for declustering\n",
    "    sum_wts = np.zeros(nd)\n",
    "\n",
    "# Set up the discretization points per block.  Figure out how many\n",
    "# are needed, the spacing, and fill the xdb and ydb arrays with the\n",
    "# offsets relative to the block center (this only gets done once):\n",
    "    ndb  = nxdis * nydis\n",
    "    if ndb > MAXDIS: \n",
    "        print('ERROR KB2D: Too many discretization points ')\n",
    "        print('            Increase MAXDIS or lower n[xy]dis')\n",
    "        return kmap\n",
    "    xdis = xsiz  / max(float(nxdis),1.0)\n",
    "    ydis = ysiz  / max(float(nydis),1.0)\n",
    "    xloc = -0.5*(xsiz+xdis)\n",
    "    i    = -1   # accounting for 0 as lowest index\n",
    "    for ix in range(0,nxdis):       \n",
    "        xloc = xloc + xdis\n",
    "        yloc = -0.5*(ysiz+ydis)\n",
    "        for iy in range(0,nydis): \n",
    "            yloc = yloc + ydis\n",
    "            i = i+1\n",
    "            xdb[i] = xloc\n",
    "            ydb[i] = yloc\n",
    "\n",
    "# Initialize accumulators:\n",
    "    cbb  = 0.0\n",
    "    rad2 = radius*radius\n",
    "\n",
    "# Calculate Block Covariance. Check for point kriging.\n",
    "    rotmat, maxcov = geostats.setup_rotmat(c0,nst,it,cc,ang,PMX)\n",
    "    cov = geostats.cova2(xdb[0],ydb[0],xdb[0],ydb[0],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "# Keep this value to use for the unbiasedness constraint:\n",
    "    unbias = cov\n",
    "    first  = False\n",
    "    if ndb <= 1:\n",
    "        cbb = cov\n",
    "    else:\n",
    "        for i in range(0,ndb): \n",
    "            for j in range(0,ndb): \n",
    "                cov = cova2(xdb[i],ydb[i],xdb[j],ydb[j],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "            if i == j: \n",
    "                cov = cov - c0\n",
    "            cbb = cbb + cov\n",
    "        cbb = cbb/real(ndb*ndb)\n",
    "\n",
    "# MAIN LOOP OVER ALL THE BLOCKS IN THE GRID:\n",
    "    nk = 0\n",
    "    ak = 0.0\n",
    "    vk = 0.0\n",
    "    for iy in range(0,ny):\n",
    "        yloc = ymn + (iy-0)*ysiz  \n",
    "        for ix in range(0,nx):\n",
    "            xloc = xmn + (ix-0)*xsiz\n",
    "            current_node = (yloc,xloc)\n",
    "        \n",
    "# Find the nearest samples within each octant: First initialize\n",
    "# the counter arrays:\n",
    "            na = -1   # accounting for 0 as first index\n",
    "            dist.fill(1.0e+20)\n",
    "            nums.fill(-1)\n",
    "            dist, nums = tree.query(current_node,ndmax) # use kd tree for fast nearest data search\n",
    "            # remove any data outside search radius\n",
    "            na = len(dist)\n",
    "            nums = nums[dist<radius]\n",
    "            dist = dist[dist<radius] \n",
    "            na = len(dist)        \n",
    "\n",
    "# Is there enough samples?\n",
    "            if na + 1 < ndmin:   # accounting for min index of 0\n",
    "                est  = UNEST\n",
    "                estv = UNEST\n",
    "                print('UNEST at ' + str(ix) + ',' + str(iy))\n",
    "            else:\n",
    "\n",
    "# Put coordinates and values of neighborhood samples into xa,ya,vra:\n",
    "                for ia in range(0,na):\n",
    "                    jj = int(nums[ia])\n",
    "                    xa[ia]  = x[jj]\n",
    "                    ya[ia]  = y[jj]\n",
    "                    vra[ia] = vr[jj]\n",
    "                    \n",
    "# Handle the situation of only one sample:\n",
    "                if na == 0:  # accounting for min index of 0 - one sample case na = 0\n",
    "                    cb1 = geostats.cova2(xa[0],ya[0],xa[0],ya[0],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "                    xx  = xa[0] - xloc\n",
    "                    yy  = ya[0] - yloc\n",
    "\n",
    "# Establish Right Hand Side Covariance:\n",
    "                    if ndb <= 1:\n",
    "                        cb = geostats.cova2(xx,yy,xdb[0],ydb[0],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "                    else:\n",
    "                        cb  = 0.0\n",
    "                        for i in range(0,ndb):                  \n",
    "                            cb = cb + cova2(xx,yy,xdb[i],ydb[i],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "                            dx = xx - xdb(i)\n",
    "                            dy = yy - ydb(i)\n",
    "                            if (dx*dx+dy*dy) < EPSLON:\n",
    "                                cb = cb - c0\n",
    "                            cb = cb / real(ndb)\n",
    "                    if ktype == 0:\n",
    "                        s[0] = cb/cbb\n",
    "                        est  = s[0]*vra[0] + (1.0-s[0])*skmean\n",
    "                        estv = cbb - s[0] * cb\n",
    "                    else:\n",
    "                        est  = vra[0]\n",
    "                        estv = cbb - 2.0*cb + cb1\n",
    "\n",
    "# sum the kriging weights\n",
    "                   # print(nums)\n",
    "                    #jj = int(nums[0])\n",
    "                    #sum_wts[jj] = sum_wts[jj] + s[0]   \n",
    "\n",
    "                        \n",
    "                else:\n",
    "\n",
    "# Solve the Kriging System with more than one sample:\n",
    "                    neq = na + ktype # accounting for first index of 0\n",
    "#                    print('NEQ' + str(neq))\n",
    "                    nn  = (neq + 1)*neq/2\n",
    "\n",
    "# Set up kriging matrices:\n",
    "                    iin=-1 # accounting for first index of 0\n",
    "                    for j in range(0,na):\n",
    "\n",
    "# Establish Left Hand Side Covariance Matrix:\n",
    "                        for i in range(0,na):  # was j - want full matrix                    \n",
    "                            iin = iin + 1\n",
    "                            a[iin] = geostats.cova2(xa[i],ya[i],xa[j],ya[j],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov) \n",
    "                        if ktype == 1:\n",
    "                            iin = iin + 1\n",
    "                            a[iin] = unbias\n",
    "                        xx = xa[j] - xloc\n",
    "                        yy = ya[j] - yloc\n",
    "\n",
    "# Establish Right Hand Side Covariance:\n",
    "                        if ndb <= 1:\n",
    "                            cb = geostats.cova2(xx,yy,xdb[0],ydb[0],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "                        else:\n",
    "                            cb  = 0.0\n",
    "                            for j1 in range(0,ndb):    \n",
    "                                cb = cb + cova2(xx,yy,xdb[j1],ydb[j1],nst,c0,PMX,cc,aa,it,ang,anis,rotmat,maxcov)\n",
    "                                dx = xx - xdb[j1]\n",
    "                                dy = yy - ydb[j1]\n",
    "                                if (dx*dx+dy*dy) < EPSLON:\n",
    "                                    cb = cb - c0\n",
    "                            cb = cb / real(ndb)\n",
    "                        r[j]  = cb\n",
    "                        rr[j] = r[j]\n",
    "\n",
    "# Set the unbiasedness constraint:\n",
    "                    if ktype == 1:\n",
    "                        for i in range(0,na):\n",
    "                            iin = iin + 1\n",
    "                            a[iin] = unbias\n",
    "                        iin      = iin + 1\n",
    "                        a[iin]   = 0.0\n",
    "                        r[neq-1]  = unbias\n",
    "                        rr[neq-1] = r[neq]\n",
    "\n",
    "# Solve the Kriging System:\n",
    "#                    print('NDB' + str(ndb))\n",
    "#                    print('NEQ' + str(neq) + ' Left' + str(a) + ' Right' + str(r))\n",
    "#                    stop\n",
    "                    s = geostats.ksol_numpy(neq,a,r)\n",
    "                    ising = 0 # need to figure this out\n",
    "#                    print('weights' + str(s))\n",
    "#                    stop\n",
    "                \n",
    "            \n",
    "# Write a warning if the matrix is singular:\n",
    "                    if ising != 0:\n",
    "                        print('WARNING KB2D: singular matrix')\n",
    "                        print('              for block' + str(ix) + ',' + str(iy)+ ' ')\n",
    "                        est  = UNEST\n",
    "                        estv = UNEST\n",
    "                    else:\n",
    "\n",
    "# Compute the estimate and the kriging variance:\n",
    "                        est  = 0.0\n",
    "                        estv = cbb\n",
    "                        sumw = 0.0\n",
    "                        if ktype == 1: \n",
    "                            estv = estv - (s[na])*unbias\n",
    "                        for i in range(0,na):                          \n",
    "                            sumw = sumw + s[i]\n",
    "                            est  = est  + s[i]*vra[i]\n",
    "                            estv = estv - s[i]*rr[i]\n",
    "\n",
    "# sum the kriging weights\n",
    "                            jj = int(nums[i])\n",
    "                            sum_wts[jj] = sum_wts[jj] + s[i]\n",
    "                            \n",
    "                        if ktype == 0: \n",
    "                            est = est + (1.0-sumw)*skmean\n",
    "            kmap[ny-iy-1,ix] = est\n",
    "            vmap[ny-iy-1,ix] = estv\n",
    "            if est > UNEST:\n",
    "                nk = nk + 1\n",
    "                ak = ak + est\n",
    "                vk = vk + est*est\n",
    "\n",
    "# END OF MAIN LOOP OVER ALL THE BLOCKS:\n",
    "\n",
    "    if nk >= 1:\n",
    "        ak = ak / float(nk)\n",
    "        vk = vk/float(nk) - ak*ak\n",
    "        print('  Estimated   ' + str(nk) + ' blocks ')\n",
    "        print('      average   ' + str(ak) + '  variance  ' + str(vk))\n",
    "\n",
    "# standardize the kriging weights\n",
    "    sum_sum_wts = np.sum(sum_wts)\n",
    "    if sum_sum_wts <= 0.0:\n",
    "        sum_wts = np.ones(nd)\n",
    "    else:\n",
    "        sum_wts = sum_wts/sum_sum_wts*nd\n",
    "        \n",
    "    return sum_wts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's assume a reasoanble grid for kriging\n",
    "\n",
    "* sufficient resolution to capture the spatial context of the data\n",
    "\n",
    "* higher resolution results in more precision in the declustering weights\n",
    "\n",
    "We will also assume simple kriging parameters.\n",
    "\n",
    "* we want to limit the search to the range of correlation for computation efficiency\n",
    "\n",
    "We will also assume a variogram\n",
    "\n",
    "* very large range will result in equal weights\n",
    "\n",
    "* no spatial correlation will result in equal weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set grid parameters\n",
    "xmin = 0.0; xmax = 1000.0               # range of x values\n",
    "ymin = 0.0; ymax = 1000.0               # range of y values\n",
    "xsiz = 10; ysiz = 10                    # cell size\n",
    "nx = 100; ny = 100                      # number of cells\n",
    "xmn = 5; ymn = 5                        # grid origin, location center of lower left cell\n",
    "\n",
    "# set kriging parameters\n",
    "nxdis = 1; nydis = 1                       # block kriging discretizations, 1 for point kriging\n",
    "ndmin = 0; ndmax = 10                      # minimum and maximum data for kriging \n",
    "radius = 100                               # maximum search distance\n",
    "ktype = 0                                  # kriging type, 0 - simple, 1 - ordinary\n",
    "ivtype = 0                                 # variable type, 0 - categorical, 1 - continuous\n",
    "tmin = -999; tmax = 999;                   # data trimming limits\n",
    "skmean = 0.0\n",
    "\n",
    "# define a variogram model\n",
    "vario = GSLIB.make_variogram(nug=0.0,nst=1,it1=1,cc1=1.0,azi1=0,hmaj1=100,hmin1=100) # porosity sand variogram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's run the new kriging weight-based declustering method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Estimated   10000 blocks \n",
      "      average   0.08916323911867789  variance  0.0017159639837110736\n"
     ]
    }
   ],
   "source": [
    "import numpy.linalg as linalg  # for linear algebra\n",
    "import scipy.spatial as sp  # for fast nearest neighbor search\n",
    "from numba import jit  # for numerical speed up\n",
    "from statsmodels.stats.weightstats import DescrStatsW\n",
    "wts_kriging = declus_kriging(df,'X','Y','Porosity',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,nxdis,nydis,\n",
    "         ndmin,ndmax,radius,ktype,skmean,vario)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add the weights to the original DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Facies</th>\n",
       "      <th>Porosity</th>\n",
       "      <th>Perm</th>\n",
       "      <th>Wts</th>\n",
       "      <th>Wts_kriging</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>900</td>\n",
       "      <td>1</td>\n",
       "      <td>0.115359</td>\n",
       "      <td>5.736104</td>\n",
       "      <td>3.064286</td>\n",
       "      <td>2.057245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.136425</td>\n",
       "      <td>17.211462</td>\n",
       "      <td>1.076608</td>\n",
       "      <td>1.542516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>0.135810</td>\n",
       "      <td>43.724752</td>\n",
       "      <td>0.997239</td>\n",
       "      <td>1.170270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.094414</td>\n",
       "      <td>1.609942</td>\n",
       "      <td>1.165119</td>\n",
       "      <td>1.938405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0.113049</td>\n",
       "      <td>10.886001</td>\n",
       "      <td>1.224164</td>\n",
       "      <td>1.965014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     X    Y  Facies  Porosity       Perm       Wts  Wts_kriging\n",
       "0  100  900       1  0.115359   5.736104  3.064286     2.057245\n",
       "1  100  800       1  0.136425  17.211462  1.076608     1.542516\n",
       "2  100  600       1  0.135810  43.724752  0.997239     1.170270\n",
       "3  100  500       0  0.094414   1.609942  1.165119     1.938405\n",
       "4  100  100       0  0.113049  10.886001  1.224164     1.965014"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Wts_kriging'] = wts_kriging                           # add weights to the sample data DataFrame\n",
    "df.head()                                  # preview to check the sample data DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's add the distribution of the weights and the naive and declustered porosity distributions. You should see the histogram bars adjusted by the weights. Also note the change in the mean due to the weights. There is a significant change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Porosity naive mean is 0.135.\n",
      "Porosity declustered mean is 0.125.\n",
      "Correction of 0.0742.\n",
      "\n",
      "Summary statistics of the declustering weights:\n",
      "DescribeResult(nobs=289, minmax=(0.2819756671865989, 3.984325446814365), mean=0.9999999999999996, variance=0.40927076480664726, skewness=1.9395015754905447, kurtosis=4.287460624778004)\n"
     ]
    },
    {
     "data": {
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5hYg0xljReI2IhGB8n1+glNpQ6pha1wUishK4E6MX/CuM/fG+Ppav7XggIm9jbF8021xEJBBjBEGFOtmngWqapmkNjtd6OJVSyzi8n2GxkRgbtWP+/4JS6e8owwog3Lw4ORtYoozNeQ8BS4BzvBWzpmma5h3K2Ix9jflzFsbCE03KHVarusB8LlQp9bt55/4dDtcrmkmMvWcHYawIijI2jU/nyHWypmmapnnMsZ7DGWdukVC8VULxxu9NKLs57l4z7UjpmqZp2nFKRFoA3YE/yj1V27qgiflz+XStrFYYQ/zmishfIjLbnNd1pDpZ0zRN0zzG5usATJXNuVFVpFfMQGQsxia5BAUF9WzfvrJtnDRP27x5My5XZW+Jmw4dOpT85nK5SE5MIjc7B4DA4CAaxTfGarUeddkZGRmkJ6YRbA8ok55dmEd4fCRhYRVWCveaLZu24qeCoPT0MQV5KpN2HdoeszgagtSUA2Smp4FyY3P4E9soHn9/f1+HVS+tXr06VSkV44m8zj6nlzqYmlHHeLaux9jrtNhMpdTM0seYqyV+AoxXSmWWy6K2dUGN64gTnA3oAdyulPpDRKYA99X0ZF2/apqmadWp6prkWDc494tIY6VUkjkU6oCZvhdoVuq4phiTnPcCp5VL/6myjM2LmpkAvXr1Un/++adnI9cq9eqrrzJ9+lzCQiNL0rKzMxkwsBczZ84AwO12M+aiUZwf2ouTI1sAsCFtJ5vC0nl/0XwslqPraE9NTeWqYZdxSdxQbBaj4VrkdvFx8vd88O3HREVF1e3F1cJLz7/CT++tpUVYx5K0pKxdNB0YwKvTXjpmcRzvXnn2caybPuW6U1risFnYdiCPJ35yM+XdL4iN1Z0v5YnILk/llZqaxh+rnq5THnbLFflKqV5Hel5E7BiNzfeVUp9Wckht64K95s/lj9fK2gvsVUoV9ygvwGhwHqlOLkPXr5qmaVp1qromOdZDahcDxasLXgN8Vir9anOFwlOADHN4z7fAWSISYa6ed5aZptUTY8eOpW3bFuTmZpCVlU52TjpRUcE8/vjkkmP++usvbAecdIpqiYggIpwc1RK/1EJWr1591GVHR0dz9R038GnyUtalbGFdymY+Sf6Ba8ffeEwbmwA3/+8m7Am5bM78k8SMnWzNWEtW+C4eeESvv1FTubm5rFz6GWMHhOOwGV9NrWMDGNWxkIUfve/j6E4Myu2q06Mq5uqxc4D/lFIvH+GwWtUF5nNZInKKmf/VHK5XNJNSKhnYIyLFm9sPATZw5DpZ0zRN0zzGaz2cIjIP4450tIjsBR4FngU+EpEbgN3ApebhX2GsSrgVyAWuA1BKpYnIE8Aq87jHlVLlFyLSjpENGzYwf+5sUpMS6TFwMJeNvoqQkBAWLvyUn376idWrV9OmTRuGDRtWZgjkvn37iFKBFfKLdAeQmFi3zogrx4xmwKCBfPOlsSjlncMfJSEhoU55Ho3g4GA+WjSPn376ib/XrKNN+9acffbZ+Pn5VXner7/+yry588jNyeWcC4Zx4UUXYLfbj1HUtbd8+XK+/HQu+Xl5nDr0Qs4feSE2m2e+Rg4ePEiTMAvld7VoE+Ng9Y7NHinjeLV161ZmzJjJ9u07GDiwP9deey0RER7ewUIpvLxV3ABgDLBORNaaaQ8ACUbxajpHVxeMA94CAoCvzYdW0e3A++YKtdsx/rYWKq+TNU3TNM1jvLYtii/pIT+e99PSH3jz8Qe45qRIGocEsmJfGj/k+TFj3gKCg4OrPHfLli08MOYOLos/tUz6x4nLefKdV2nb9sSc4zjz/2ayaNYiOgV1xmF1sCV7C6EnhzDjrRlHPczYm+bMfI3Nv87huqH+BPlb+WxFDtsKuvHya3MrNBKPhtPpZMyIU5l9kX9JDyfAvD8P4T9wAqNGX13nMo5HK1eu5KabxuEqsuHnF0BeXjbRMcEsWvQpUVFRq6sawlobPXu2UL/+8Uid8giw3+CxeLT6SdevmqZpWmVE5IjXAPXvqlard9xuN//37JM82rs5nRtFEh3kz/C28Qz2z+fTj+dXe36bNm1o3qs93yeuIduZR44zjx+S1tC0R5sTtrGZmZnJ/DfnMzjmNGKCYgjzD6NXdC9SNxzkjz/KL9zpe+np6fz05Vs8eXUEbZoGEh/tx7jhkYQ7/2HVqlXVZ1ADDoeDS6+/g4e+OsSug/kUFLr56p9D/JAczYgLLvZIGcejhx56BJs1hODgMOx2B6GhkaSmZDNr1mwPl2QFQuv40DRN0zRNK0s3OLVqpaenE04hIX5lh3qeEh/B2l9/qVEez015kdNvv5gl1k18Z9nI4Fsv4oXXjjSNq+HbtGkT0ZZoLFL2n2AjacQfv670UVRHtnHjRnq2EiyWsj2ZA9or1q7+zWPlXHL5aC6d9DpvbG3J7d85SGxxJa/NXUBQUJDHyvAFpRTr1q3j/Xff5ocffqCwsLBG5xUVFXHgQCp2u6NMelBQKD//vMyzMVKEUml1emiapmmappVXX7ZF0eqx4OBg0gpcuJXCUmro5J6MHOJadKpRHlarlVGjr2DU6Cu8FeZxJTY2lmyVXSE9W2XRJCHeBxFVLTY2lj0HK6bvToXY3s0qPlEHAweeysCBp1Z/4HHC5XLx0KRbce9bQb9mBfy7zM6cqZG8NH0ejRs3rvJcq9WKw2HD7XaXGWZdUJBPQkK7Ks48Ol6ew6lpmqZp2glI93Bq1XI4HAw4ZzjzNuzDbc75PZibz/s7M7n06ut8HN3xqXnz5jRq14it6VspnkedmpvKfr/9DDt3mI+jq6hVq1Y4A9rw/ZqMkng378nlu/WBnHV2/Yu3Pvl88UJiM5bz5PlBnNc9kv+dFsKEvuk8P3lSteeKCGPGjCYnNw2l3AAUFRWiyOPWW//n4UgVyl1Up4emaZqmaVp5uodTq5HbJ93L6y9buPXLxQTbBFdAKHc++yqtWrXydWg+kZaWRnp6OgkJCUe9SuuU6VOY/OBkvvj5c0QJTVs3ZfqL06tdhMlXnnphBi889QBvvfI7DhsERrTgmVdfJDCw4grE2mE/fvkRE7oHlEnr2jyIV5atx+l04nA4jnCmsXLvueeeS2FhER988CEul5vQ0GCee+RFOnfu7OFIrQjhHs5T0zRN07QTnW5wajVis9m48577ue3ue8jPzycwMNAjK5Meb3Jzc3l00j3s/WcdkQ4/Eouc3HzPPZxz3rm1zisvL4+s1D20Cnfhb7VwKGc/6enpXojaM0JDQ3niuWk4nU5cLhcBAQHVn6RhtdkpcpVdDVwphVvJEVcjzszM5KEJk0j+bwthNn9SKOC5Z5/ilH79vPdvTxXhVpWMm9Y0TdM0TasD3eDUasVqtR73C7jUxZMPPECrXfu4tmM3APKKCnnp6WdoeVJr2rWr+Zw6pRT3jLuZywNddOptnHcwN58nxt/OrM++8Pweix5UVY+cVtE5F47hnbcn8uC5jpKG4vLNObTq1O+IveMPTZhEm705XN76FAByCwt4/eEnOOnDd2jevLmXIlWg53BqmqZpmuZheg6nptVQTk4Om1et5tT4w4vkBNjsjIyN55P33qtVXlu3biUkM41OcVElaVGB/gyNDOTrL77wWMya75151tmEd72UcR/m8davmUz+Mpd521ow6eFnKz0+LS2N5P+20CM2oSQt0O7H6SFNWfhh9dsQ1YVSRXV6aJqmaZqmlad7OLV6a926dcx6+Xn279lNaGQU19w+noGnDjqqvH75+Wfeem0qmWkHaZSQwM0T76FTp5qtsFssJyeHELujwnDGcP8ADqWk1iqvjIwMIh3WCulRfjZS0/SwRk9TSvHpxx/y2ftzKcjLpW3nHoy7+z7i472/IrCIcNe9j5J09Vg2bNhAv7g4Tj755CMOi83MzCTU5l8hPdwvkK0p3vxsKHDXbLsWTdM0TdO0mtI9nFq9tHHjRp669Sau9M9mSp/m3N7IytyH7+GnpUtrndeP33/Pmw8/wC0RAbzQpS2X4OTxcWPZtGlTrfKJiYkh189Oen5emfQVKckMOOvMWuXVsWNH/s3Kp6DIVSb9l4M59D/t9FrlpVVv5rQp/DPvZZ7pbWXWmRGcUfgXE64fdUznzDZu3JghQ4bQqVOnKudgJiQkkCqF5DgLyqSvzkhi4FlDvBihFZGoOj00TdM0TdPK0w1OrV6aO20K49rF0iIiBIDY4AAmdm/Om1NeqnVeb055lTs7tiYmyFhNtXl4KNc3j2fua1NrlY+IcPfjk3l56wZ+27eHLWkHmbdtE4lxUZw7fHit8goMDGTMnROYvGYzK/fuZ/2Bg0xZu5WInn3p0qVLrfLSqpaXl8fSRfOY0K8Rof52RIReCRGMiC/is0+8O0T1aFgsFu567EHe2Pkna5J3s+3QAT7e+Q9FJzXmjCHea3AqVYTbvb9OD03TNE3TtPL0kFqtXtq5ZTNte5Qd7hgR4Ed+xt5a55WXkU5467J5tYuKYO7GLbXOq0/fvrz28UcsnD+fv5OSGXDtFQw96yzsdnut8xp50cV06NSZLz75mLysbEbedB4DBgw4IVf/9aaUlBQSQmxYLGX/rh1i/Pnsv399FFXVBp92Gi0/epdF8z9me0oqw8+8nNPPOAOrteIwbM9RoPfS1DRN0zTNw3SDU6uXWrVrx8aUPXSIPbxa68HcfALCa796a0B4OIfy8okIODwvbmNqGq1qsapsafHx8dx6111HdW55bdu2ZcL9D3okL61ysbGx7M5y4XarMo3O9fvzaD2o/vYmJyQkcMeku49dgUqB21X9cZqmaZqmabWgh9Rq9dJ1t41n+uYUth3MBCA5K5cX1+7ihvETa53XjXfdzZQNW9mfnQPA9kPpzN2dxPW33+HRmLX6yd/fnzMvuYoXf0smI68QpRR/7Ezjy2QHF1xyua/Dq19UUd0emqZpmqZp5egeTq1eatu2LY/NmMusl19g38ptRMTGMfbpV+jXv3+t8xp8+unYn32BN1+bStr2LTRt1YrJM+fQpk0bL0Revyml+Pfff9m3bx8dOnTw4p6O9csNt9zK4rjGPPTubPJz0+nYoy+vvjWJ0NBQX4dWb4jYsFpifB2GpmmapmkNjG5wavVWhw4deHnWmx7Jq/+AAfQfMMAjeR2vsrKyuOf2a4kq3E7rCCdfzHQQ0/40Hn7yJSyWhj3YQUQYedHFjLzoYl+HUn+pQtxFSb6OQtM0TdO0BkY3ODXtBDHl+cmMiN/MWZ1DgUDGAFOWfMfCTz7m4kv10NITntKLBmmapmma5nkNu1tDO2q5ubnk5ub6OozjmlKKjIwMnE6nr0MB4O8/fuTMTiFl0sb0C+LbRe/5KCLvycnJqfbzW1RURHp6Om63+xhFVd+ZDc66PDRN0zRN08rRPZxaGQcOHODpxyZwKOk/BCEk5iQemPwKjRs39nVox5XlvyznpcnPYMktJM9dyGnnncWE+ydhs/nun5ygKqTZLIK7Aa1MunfvXu6+6152bt8HStGxc1teeOkZoqOjS45xu928/uo0Fn/0Gf44cDkUd943nrPPPceHkdcDYsdqi/N1FJqmaZqmNTC6wamVcLvdTLz1Km4fmk6PS8MA+Gfbdu65/Sremv+dl/cArJ09e/awbNkvBAUF0q1bN1auXAlAnz59WLt2LTk5OfTt25etW7dy4EAKffv2od1RboNSW1u3buW5ux/h8sanEBIRiFu5WfbtX7yknufeRx44JjFUpl3X/vy6+WcGtju8UM78Vdmcce44n8XkSU6nkzFXXo8lJ574oJ4A7Fy3n2uvvonPv/y0ZH/TWW/M5I95y7g47kwsYiG/qIApD79EbOM4unfv7suX4FuqEHdhoq+j0DRN0zStgdENTq3EqlWr6Bh3kB5tw0rSurQOpmv8IX7//XcGDhzow+gO+7/X3mD+m58SURjPvqyd/JeylujYxii3i9TUFGJjmmO32UjZv49mER2JColjhuM9Bg7twTPPP+X1BXI+ePNtBoW0JcQRCIBFLAxq1IlZXy3hrvsm4nA4vFr+kdx1/+PcdfMV/LEriTaRhazc50dhVB+eHTXaJ/F42rJly8jPsNMoLKokLTw4juTkf/n777/p1q0bSik+fX8BI2PPwCLG58Df5vic2CUAACAASURBVMcpod148/U5vDZ7mq/C9z29D6emaZqmaV6gG5xaiZSUFJpGFFZIbxZZSEpKyhHP2717N7OnvsbGf/6haYsWXHf7bXTu3NkrMW7evJmP5iyid+gQClwF/LZzKcHWONLTsnG587AQwr7E7UARUbbWWLMjiIlrjr9/O379dhVLz1nK0KFDvRJbseS9SfQOiCyTZhELgRYHOTk5PmtwRkZGMnf+1/z+++/s3bOH0deeTKdOnUp6/o53ycnJqCJ7hXQpcpR8fpVSqCI3NkvZr77IgDDWJW0/JnHWXwrR8zA1TdM0TfMwvWiQVqJr164s32RDqcNz/ZRS/LLJTrdu3So9Z/fu3YwffRUnb9/Fo63aMjQrlydvvoU/VqzwSoxff/ENcW5j78itqespcruwiA1XoZOCgnzyClIpcrlwFSkOOfeyLes3ElN24VZuoh2tWPjx516Jq7Q+gwfwX/qeMmnZzjwK/S2Eh4d7vfyqWCwWBgwYwOWjRtG5c+cG09gE6NWrF8qeVSZNKUWRNZMuXboAxuuPbBRNen5mmeO2pO3klFP7HbNY6y23q24PTdM0TdO0cnQPp1aiWbNmnNRjOE/M+4wrBwdgEeHDX/Jo0mEYLVu2rPSc2VOnMiq2MZ1jjcVGWoZHcKujPW889zx9F37q8RjtdjupeftZsXsZBUUucp35ZORvNXqucGHcQzGWx3G6c3GSw19JS9h06DdaxXSihb29x2Mq79JRl3HdJ59B0gY6hDfjYF4Gy7I2M/H5RxtUA6++ad++PQNO68HyH/4mPCAB5XaT4dzFRVecR1zc4cVw7n3sPu675R665bUjOiCSXVl72Rmwn0fHPu/D6OsDOxabXhxM0zRN0zTP0g1OD0lOTmb2nP9j/fq1BAWFcNFFVzDsnPOOuwbG3fdOZunSQbz15TzcbsXQi0cxdOiZRzx+4z/ruLxV2zJpMYFBZG3f4pX4+p/ajwfvm0zjgJ6E2K2k5f0Myo6i9NYjyvyvAAJiwyphrE/8nbsGjqlxWdu2bePLxV8BMHzkebRq1arCMStWrOCVl14jKXE/bdq2pP+AU0jbf5ALr7yMrKxM/vh1JbEnN+bFG6bTtm3bCudrR2f37t3MnjWFzZvXERYWyagrbuL004fw4svP8e233/Lx/IXYbA5Gj3mEQYMGlTm3e48ezPhoNu/OfptNO3bT6/w+PHX1lYSFhR2htLJcLhfz3pvLd4s/oKiokFMGD+OGm+8kKCjIGy/12FFO3IV7qj9O0zRN0zStFnSD0wPS09O5a8LNjLv1VO69/2YOHcpmyqsfc/BgKmOuutbX4dWKiDBkyFCGDKnZPMemzZuzOyOdFuERJWnZTif2oECvxLd69RoaxbalICufAmcWShlDat2qECps+6EAhcvtokDlEBYRx5o1fzFq1Khqy3lrzlu8M+0D4mkBwMJ3FnPDnddw1bVXlRyzdOmPTBr/CJEBbQi2tuH7z75n6xf/0LtVVzbLWpIC0pnz4dwyvWta3SUnJ3PPxOu57ea23HPnIA6k5PDqtOfIysrg/PMvYtiwYQwbNqzKPFq0aMHDTz56VOU/+chEotO/Zdolwditwtdr3+fOsSuY+e4iry9I5V0K0cNiNU3TNE3zsOP56qjeWLjoEy65tCsDBpyMxWIhKiqURx69lC+++Bin01l9Bsexa2+/jbd2bic1NxcwGpuzNv/HVeO8s9VGSspBwkKjaNPuJAJDHbiVGzdOoHixEzfFDU3j4aJIZWLzKyAiIoyUlNRqyzhw4ABzp71L/7AhtIpoS6uItvQPG8rsqXM5ePBgyXEvPPcKMUEdCPALITH5P3oGtKNPWHcCC/zpG9uNLq7WPP/Ec57/I5zg5n/4NmOuaE73bk0QEeJig3n4vn588P503G63V8tOTEwk+b+fuHlIGIF+Vuw2C+f3CqVt4E6WL1/u1bK9T+k5nJqmaZqmeZxucHrA1q0b6Nqt7BxHm81KQkIkqanVN3COZ126dGHCKy8xO+MgD637i5f27eT8iRMYPnKkV8obOvR0XJKOxWolJCgKRSFuVQSU3iO0uLHpBiyIWMjJzmbrtn9o0qQxaWlpVZaxYsUKol2NsVgO52m1WIlyN+aPP/4oSUs7eAiHPQCArIxkWgcmYLXYycvLA6BlWFPW/fm3Z174ERQUFLBmzRo2bdpEUVERf//9N+vWratzwys/P581a9awefPmMotI1QdbtvxLl86NyqQFBjoICqTkb+8t27Zto3N8xYZV1/gitm7616tle5uIA4u9aZ0emqZpmqZp5ekhtR7QosVJ/Pvvblq2PHwR7Ha72bMnjaioqCrObBj6nnIKfRctPCZl9ezZk/6DuvHrT2vJdyoEAaFUo8jK4aG1Arhxu924ioqwEczHby/hu6+WMfKiYTzw4H2VzrENCAjAba3YqHBZiggMPDxUOCwshMK8Auw2P8RipdBdCKLwD/IzjlcurHbv/RP77psvmf3i43SNFjYmZ7Pk31Qax7fBZrMSEGRh+oxpdOzYsdb5fvv1F7z5+uN0b+EmIxeS82J56qXZxMfHe+FV1F7Llu3Y8N9OBvY/fJOnoKCI7BxFQECAV8tu3rw585Mr3qfbsN9K18HtvFq2tym3E1Ww26tliMibwHDggFKqUyXPTwKKN4a1AR2AGPMxv9ShrYBHlFKvikg3YDrgjzHU4X9KqZXeexWapmmaptWG7uH0gIsuvIz581azdu02lFJkZeXy3LMLGTp0BH5+fr4Or0EREV56+QVGX3c++SSCRbBYjIaloXTPntHwtFltRPi1pEloTwJoSnxQLxZ9uJSFCxdVWsapp55Khl8K2QWHt87IKsggy/8g/fv3L0m7a+IdHMjaQIEzl8iYlqzKXIdLFRAXFwvA6tR/Ofei8zz58kvs2bOHd196hNfPDmdszzA27kihWVBTslMV4UEtoCCaG28YV+sh3bt37+aD6Q8ze1wAky4M5cnRodw19CCP3HuzV17H0Rh1xXXMfXc7GzcfACA9I49nX1rBxRdf6/U5lAkJCYQk9OXdXzJxFrpxuxXf/53F2rR4Bg0a7NWyve+YDKl9CzjniBEo9YJSqptSqhtwP/CzUipNKbWpVHpPIBcovsv1PDDZfO4R83dN0zRN0+oJ3cPpAVFRUTz37DTemP4qLz7/LQ67HyPOv4yLL7rU16E1OEop7rjjTpYv+xN/Rww2636chTkY907c5sNcnRaFiAWH1Z8w/6a43YrAwABEhNiQNrwz930uuujCCmX4+/szZdYrTLz1HuxZAcZejkH5vPbGFBwOR8lxw4adg91uZ+orr2NT2RRYXaxmE6nZ2RzMSKfLgO7ccpt35rJ+vfhTLm1jI9BhZcl/KRS6QogK9CPLWUhBQQF+foHkZFpYsWJFhVVaq8z3i08YNQAC/Q8PJz65RRChJLFr1y6aN2/ujZdTK02aNOGJp2YwffqL7NvzI/4BwVx62TjOO+/8Y1L+5GdfY+6sadz4/qe4XUV06zuCKTPvxWY7vr9OReH1RYOUUstEpEUND78CmFdJ+hBgm1JqV3G2QKj5cxiQWJcYNU3TNE3zrOP7CqkeSUhI4JmnX/Z1GMe9Txd8yuxps8nPLiAsOpS77r+LQYMPN5hWrVrFr8v/JCw0ngJnHm53IRZxoChCKQvGtacFm81GUZG5kJAIbpcbq81WMsTZarWTk5Nbpuw9e/bw8EOT2bBuIxarcN6Iczh/5HDsdjvt27evtPds6NAhDB06pOT3Q4cOsXPnTpo0aUJsbKzH/z7F8rKzCHIY8eQ6XbiV0UC0iJTM31RuYy5mrfLNzSIkoOLrDPb3/vzI2mjTpg0vvTTDJ2U7HA5uvnUCN986wSfle4/yxMI/0SLyZ6nfZyqlZtY2ExEJxOgJva2Sp0dRtiE6HvhWRF7EuPPUv5JzNE3TNE3zEd3g1OqNxYsWM+vJOfSJHIBfpB85+TlMHv8EL775PN27dwfghx+WgtuPoiInyft3IRawipXCImPoqIgNpdyICGFhoeTn5+NWTsThpHXLtiW9UCkZO7nihsNbZ+Tk5DD6imux5DWiUXBPlHLz1YIV7N+fwrTXX63xa4iIiCAiIqL6A+to0Fnn8d6ji+jbQnFKqwgskkiRO5ICl9FD63a7EFs+ffr0qV2+Zwxn/pRPOaWDKpnfmp5dyOb9frRp08YbL0WrL8SBxdGsrrmkKqV6eSCaEcCvSqkyK3yJiAM4H2O4bbFxwF1KqU9E5DJgDlCzfZ00TdM0TfM63eDU6o2ZU2fRO7IffjZj3muQI4huQT1545U3mPmO0UkSFxdLWnoS23b8Q2FREYWFBYBgETvK3BLFbg3FbrWTn51HkK0R0ZGNSMnciOx1EhfVjEIyadQyiBvH3lBS9ueff4EzM4DY8GgARCzEhLdi1e9r2b9/f73bS7Nbt24s6T2MB7//mrOaW+nbKohP1m4jNrYtaRmJKEsW995/F+Hh4bXKt3v37ixpcx73vvUl53QTMnIUn6yycueDr2G1WqvPQDt+KScqf6evoyhWvhez2DBgjVJqf6m0a4A7zZ8/BmZ7OTZN0zRN02pBNzh96L///uPj92eQkryXbn1O49JRVxMaGlr9iTXJd94sUg4k0r3XYC69/CpCQkI8EHHtOJ1OPlu4kJ+//ILA4CAuuOrqMovulJeXnYd/uH+ZtMiAKP7bva7k9x49epCSug/lFlxuFyAIfiA2RDlx2OKwiAXlzibW3g27JZA2jdvRsXk/1u/7gS4DY7nwops47bTTyjSgtm7Zht0SVCEmqwSQnJxc7xqcIsKkhx5n/frLWf7jEk7tE87YTl34/bcVWCwWRpw/nGbNat9bJSLc8+CTrF9/Bct/XkJIXDjTbjv/hFht+YSnPDKkts5EJAwYDFxVydOVzetMNI//CTgD2OLN+DRN0zRNqx3d4PSRZT//yFsv38m4M4SEjn78suENbrt+Ea/PXVinxuHPPy3l7TfuY9xFETQ9I4Blq+fxv5s+443ZCwgODvbgK6ia2+1m/NgbabZ/H1c3a0x2bhrvPHAPW0ZfzTU3ja30nJjG0WQeyiDUP6wkbW/mHjr3P7x7wo8//ojVasVZJFjwRywKt8pHKSc2iz9Wix2lXFjcVvwdYVitFrKysoiNjaVldC8s2BgyZEiFsnv36cnnC5YBh7e2UUpRRDYtW7ascHx9ICJ06tSJTp0O/3169uzplXy1E4PUcf/WavMXmQechjHXcy/wKGAHUEpNNw+7EPhOKZVT7txA4Eyg/JLJNwFTRMQG5AOVf8FomqZpmuYTelsUH1BKMfPVx3hxdAA9TgomOszOhf3COa9tEp989H6d8p0x7UleuKMp3TtEEBPpz8VnxnNurzw+WVDZ6DTv+fXXXwlL2ssV7VsTGxRIq4hwJnVtz+fvvE1WVlal50x8eCIrs39jf3YyLreL3ek72cwGbr3r1pJjtm7dittlJSgwAofDH4vFjs0ahojCbrcRGBiA3WHHbrfj7++PWCwle3QKgstVeQ/OGWecQePmwRw4tJ0iVyH5zhwSD63jitGXeKTXWdPqPeX9bVGUUlcopRorpexKqaZKqTlKqemlGpsopd5SSo2q5NxcpVSUUiqjXPpypVRPpVRXpVRfpdRqj/w9NE3TNE3zCN3g9IHMzEyCrVmEBZXtYB7YMZC/V/101Pmmp6cTFlBAWIijTPqAbuH8vXrZUed7NNb+sYKe4WV7VK0WCx1DAtmypfIRb7169eL196dBlyJW8itRg8N4a8FcEhISSo7x8/M3V6UFq9UGAiJgEQdIIS5XEXabDbu/lQJXFoKb8PBwlFKkO3dz8WUjKy3bbrfzwYfvMPyyfiRlrSLXso0HH7+D8Xfd4bG/iabVaxY/xL9FnR6apmmapmnl6SG1PhAYGMihXMHtVlgsUpK+60ABsY2Pfp/DoKAgDmW5K+ablENc4851irm2Yps0IXFZxS05EvMLiImJOeJ5HTp0YMr0I68K26NHd8IjFpOVVYDb7cZmtVLkcmG1QnhEBBnpicTGNMdmi2R/8l/ER7TlYLYVlyODM4b35/TTTz9i3nNmzeXzT74j0NUMlenmhWdepXnzBI8MU9W0es9dgMrb7usoNE3TNE1rYHSD0wfsdjsDhl7ErO/nceOQUKxW4WBmITN+FB5+5aajztfhcNBv0AjmLPqaGy6Ix2IRUg8VMHtxFo8+d70HX0H1hp03nOtnzqBbRiYJYaEopVi2N4nAlq2PajGbYueffz6vvfY6udlCYaELEUHhpHF8OHfccTt9+vRh7dq15Obm0rt3b7Zv386BAwfo1asXJ5100hHz3bhxI+/OWUBCaN+S7UAKCnOZcMe9/PjLd5XuwalpDYvy+hxOTdM0TdNOPCdMg7OgoIB9+/YRHR1dL+bk3XrnfUx/zcqY6QsI9VcUSBjj7n+lykZRTdx25728Mc3GVY8sJCxYKHCH8L+7X6VVq1YeirxmQkNDeW72mzz7wP1kb12PUylO7tuPZyY/Xqt88vPzSUxMJCYmhpCQEEJDQ3n//XeZMGEi27ZtR0QYOnQITz31BEFBxiqzTZo0KTm/RYsW1ZZRWFjI23PfxVYUWdLYBPCzB+LO9WPjxo107NixVnHXZ5mZmaSmptKkSRP8/Px8Hc5xKzk5GafTSbNmzcp8bo5ryver1Gqapmma1rCcEA3Oee+8zcezZpEQ6E9ibj7dTjuNex59DJvNdy/farVy6/j7uOX2SeTn5xMYGOiRi1ar1cptd97DuNvu9mi+R6N169bMmv8Rubm52Gw2HA5H9SeVMnP6bN6c/S42CaTQncO5w8/k4Ucf5NChQ+QdyqeRXwIuCjmYdJD8/PySBmdtfL74C15++lWyk/NJTj3AofQkOrToh9VqB8CN26efE08qKiri6Uef5LclvxBhC+GgK5Orbr6Gq6+/xtehHVeSkpJ4bPJ92O35BAQ4SE7K4Z57J9O507Edtu5x4kD867oi8xqPhKJpmqZpWsPRMK6kq7Ds55/5ec5snunaAbvVilKKBatXMn3KFG67+25fh4fVaj2qhpKv8j0agYGBtT7n22+/Zdbr82ga3gsRY6XZbxauICDgJT7/+GtOdgwkINh4ffu37uN/N97O/IUf1KqMDRs28NIjU+kdOgR3E8W2vB2k5CezafcfdGw5kJz8DILCLbRp06bW8ddHb0z9P/Z8v5HL485ExNjHdNHrH9K8VXMGn3aar8M7LiileOCB8dw5YTCdOxuNs+TkNCaMv485s+cf062HPM5dgMrd5usoNE3TNE1rYBr8xLSP577JVa0TsFutgLHH4IWtW/DD4kU+jkyryszpc4kJaoeI8REVEeJC2/HmnHeJKkwgwH64MR0X1ITUXRns2LGjVmW8++b7tLJ1xG614+dw0KhxLDG2OA6lJ7I3Yy15Adt4Y+bUBjNc8ssFi+kb06Xk9VgtVgZEduOdGW/5NrDjyPr162mWEFTS2ARo1CiSc887mSXff+fDyDzE7a7bQ9M0TdM0rZwG38OZnnaQgJhwdu3YhbOgAKvNRkxcNBaXG6VUg2lMHK+UUiz8dBFzZrxNdmYOJ3fpwH0PTSTjUAbB9iZljrVYrBTkO3EEBlTIxyEBZGRkVEivSuqBgwTYo0p+j4yIICw0lOQDm3j8pbs544wzsJo3KkrHu+iTT5k3511ys3Jo36Ujd94/scYLIeXm5jLr9VdYsfRrEGHgmSO4Ydwd+Pv71yr2mlJKseCjBbw9+z3+XrcJol2cdVI/IgPCAAh1BHMo7ZBXym6IMjIyiI6p2IsZExvK/qTj/O+oFFKDvTQ1TdM0TdNqo8H3cLbr1p1Fq//Gr9BKpC2UYOXHmk07cPv568ZmPTB3zlu8/OgswjM60spyKvtWFjH60uvo068XqRm7yxybmZNK564dSZN9ZdKL3IXkWg/Rvn37WpU99Nwz2Jdbtlc035VHdNNIhg4dWqGxCfDmjNl88vybDLd35trYwcRtLGLclddz8ODBastTSnH3uGtptOMTZo1wMHO4nfBNH3Lv7TfWKu7amD5tBm88+S5Ns3vQO+RcitJjmLtmMdnOXADWp23ltLPP8Fr5DU3nzp1Z8ft2CguLStKUUiz5dj39Thngw8g8RPdwapqmaZrmYQ2+hzMtNZPfk/Nwu5PpEh7K7tw8Pk9MwdHi6Lfm0DyjqKiIuTPf5aSQQVgsRuMuKqgxBRk5BPj7ExiTw/7UzQTYIskvzIDAdGZPe5OpL0/jn59+o5GtBQWufJLZxsTJd9a6l/DCiy7gswWL+Xfrn8Q5mpLtzCTJuo0XpzxX6c0Ip9PJgrfncV2T07Ca8baKiCf9QA4fvvsBt46/vcry/vrrL6LztjGyf2RJ2sXdI/lnyUY2bNjg8ZVwnU4n8975mC5hQ7GIhcZNm7B7RxHBzqYs2fY7jaJjSA3L4fEbr/NouQ1ZaGgoF154FePveIvRY/rj7+/gs4WriYvrWOsbHvWOxQ8CWtcxk/88EormeSKyE8gCXECRUqqXiEQC84EWwE7gMqXUcd5Vr2maptU3Db7BuWv7LsZ0v4r/Urbw6YFEQv0bc1mXM/k8bflxP6R2zZo1LP5oIW63i+GXXEDv3r2Pq9eTnp6Oxe2HxV62JzHMP5YdW3ex6PMFfLZoMX+uXEO7Dv259LJLiIiI4MVXn2f58uV8vfhbQsPiufSKSUe1nYzD4eDteXP55ptvWL70Nzo168RlV0ymcePGlR5/6NAhwiwBJY3NYs2CY9j478Zqy9uxYwcnRxZWSO8YUcSOHTs83uBMTU3FoQKxmPNg/fz8aHVSK/bst5Dk/y9Xjb+R4eePICCg4hBl7cguvWQUnTt146uvP8PpzGH4ebfQt29fX4dVd+58yNni6yg07zpdKZVa6vf7gB+UUs+KyH3m7/f6JjRN0zStoWrwDc52Hduz/8+D9IzvAnQBILcwn4DQoOOqcVbeG1Om8eN7n9M75CQQePmnR+lz0RAm3DfR16HVWHh4OG5LAS53EVbL4Y9iRsEB+nXrSWBgIFdcOYorrhxV5jyLxcKgQYMYNGhQnWOw2+2MGDGCESNGVHtsZGQkGe48XG5XmUbn7uwDtO3Su9rzW7duzYL5Di4ol/7vQSvXe2Gf1OjoaJySi1u5SxqdVpsNCS7kurHXcOnll3m8zBNF+/btj/8ezfIUeljsiWckcJr589vAT+gGp6ZpmuZhDX4O502338yK/PUkZh0AICM/i28O/Ma4u2/zcWRHb//+/Xz1/kIubTaQVhHxtAqP55KmA1j26Tfs2bPH1+HVmM1m44ZbrmVr1koKCnNRSpGavY+84ESuuuZKX4dXgd1u5/IbxvDZvj/Ichrxbknbyz+SxKirqo+3a9euHAo6iU/+SsNZ5MZZ5Gb+6jSKYjrRoUMHj8frcDgYff0o1qf/Sn6REW9y1m6yQpIYNfpyj5enHe8UuF11e2j1mQK+E5HVIjLWTItTSiUBmP+PrexEERkrIn+KyJ8pKSnHKFxN0zStoWjwPZwtW7bktfemM/W5V/h181IiY6KY+OCDDBpc994xX1m9ejWtbTElvVZgbBvS2hLDypUra7xiqi8VFhayatUqmjRrzB0PXcf7b88nMz2TrgM7M+n+uURHR/s6xEpdc8O1RMVE8/6st8hOyaJzz67MmDSXyMjIas8VEV78v7nMnTGNW77+AoDB54zhubG3ei3esbfcSFyjGN6c/g7ZWdn0GNyNV++dS0REhNfKPBpOp5M//viDgoIC+vTpQ2hoqK9DOuGIxR8Jqv3Q9LK2eyQWzSsGKKUSRSQWWCIi1c8DMCmlZgIzAXr16qW8FaCmaZrWMDX4BidA27ZtmTbnDV+H4THh4eHkirNCeq6lsEYNH1/bvHkz42+8g8iCUOzKxl6VzE0TbuayK+p/r5uIMGLkCEaMrH4IbmUCAgL43/hJ/G/8JA9HVjkR4YILL+CCC8sP5K0/1q1bxxMTxtE7woW/VTHraTdX3/kA542svzE3SK58yNJzOBsqpVSi+f8DIrIQ6APsF5HGSqkkEWkMHPBpkJqmaVqDdEI0OBuavn378px/PolZqcSHGD2B+3PS2GPPYsCA+r01g9vt5u5b7mKgvSeRoeEA9HQXMefFWfTp15cWLVr4NkDtmHK5XDw16TaePiWYuBBjleFRhS7GT3mKHn36HnEBJ81L9BzOBklEggCLUirL/Pks4HFgMXAN8Kz5/898F6WmaZrWUDX4OZwNkdVq5bW50/kjcB8fJP7Ch0nLWWbfydS5b+BwOHwdXpU2bdqEf66DyIDwkjSbxUY7e0u+XPylV8suKioiPT0d9wl4Ue10OsnIyECp+jUa7u+//6ZDUCFxIf7kFbrILijC325lRIKNH777xtfhnWCU3oez4YoDlovI38BK4Eul1DcYDc0zRWQLcKb5u6ZpmqZ5lO7hPE4lJCTw3qKP2L9/P263+7jpCXK73VgrWR3YggW3yzuLjiilmP3GDBa+9xGB2CmwuRk74TZGXDDSK+XVJ06nk+efeIZfl/yMn9ixBDu478mH6FNPtvFwu90UFhVx38KNbE4qxIKF8BA3A9uFElpU5OvwTix6ldoGSym1HehaSfpBYMixj0jTNE07kegG53EuLi7O1yHUSocOHci055JZkE2oXzAAbuVmc9FObh3unS1dPnjnPVa88yVjmw7CarFSUOTk7adeIyommv71fAhyXT31yONk/rKDaxoPQUTILMjhsdvvZ/qCt0hISPB1eHTt2pXRK5M4J6QrF0U3AeBAQQZTf/yZL58e7OPoTjBWfwhuW8dM9nkkFE3TNE3TGg49pNaD3G43iYmJZGVl+aT8jIwMkpKSfDJssrCwkH379pGXl1flcRaLhaenPsuSrOX8sX8Na5L/4bPkJVx04yW0adPmqMtPTU0lNTW10uc+mvsew+K7leydWl1h4gAAIABJREFU6WdzcG5cV976v9lHXV59oZQiKSmJjIyMCs/l5OSw6sff6BvbsWTP2VC/IHr7t2b+u/OOdaiV2rlzJy2j2+JPLAdzCzmUV0heQQDdY3qy4d8NVZ7rcrlITEwkJyfnGEXbwLnyIWtT3R6apmmapmnl+KSHU0TuAm7EGMS1DrgOaAx8CEQCa4AxSimn/D979x0eVdEFcPg3u5teCSkkJEDohI6hdwmIiAVpFlAUBRUQRRABFRuIiqKiH4iCAgpWkCZFRQSl915DSyCF9F525/sjIRAINZssxPM+z31IZu+dOTdZ4J6dppQDMAe4A4gD+mqtT9gi7qtZ+/capk0eRwWXDOJSNVXqtmbMGx/g5ORU4m0nJSXx5qiXiD50EFc7Iyl2joyaOInGjRuXeNsAP82fy89ff0agmyYyxUKbrr147oWXMRiK/jyjUaNGLFq9hDVr1pCWlkbr1q0JCAi4qbZPnTrF80NHcDYiDoCAIG8+mfphod673MxsHEyF57aWd3InNurATbV5sd27dzPjk2mcOn6Keo3r88zw50qt53Dbtm28MvI1MpMtmHU2dRvVZPKU9/Dw8ADy3hduJqeCZPO88k4enDh9a/RExcbG4ufiQ5WgmqSkpKAtFoJc3chKsuNs5NkrXrfityV8/elEAt1yiErR1GvRmZHj3sbOzq4Uoy9rtAypFUIIIYTVlXoPp1KqIvA8EKq1rgcYgYeA94ApWusaQAIwMP+SgUCC1ro6MCX/vFtKeHg4sz4Yzud9svmgtwOznnCkkWENk94cXSrtjxk2lJbJ0bx7R23GNajByMreTBg+9Io9ftb0999r2PD9ZL58wJkJd7kx60F3snb8wNyvZ1z1OmdnZ7p160bv3r1vOtnMzc3l8f5PkXzGGT/XBvi5NiAp0okB/Z8i96L5fxWqBBKVGl/o2n2xpwhtVbx5jBvWb2D0Ey9S8bgLD7i0wbQ5lUF9nuDUqVPFqvd6xMbGMnTQS3ikhVDZqTlVndtyalsWQ599oeCcChUqkGrIITO38BY6h1MiaNnx1hhKHBISQpT5HCjw8PDAs1w5THYmTluiadaqWZHX7N69mwWfv8oXPYy8e48Ls/q64Be1nKmTJ5Zy9GXM+TmcsmiQEEIIIazIVkNqTYCTUsoEOANngTuBn/Nfnw2c34Tv/vzvyX+9k7q0y8bGFv4wmwEtcnF3vtBhfO8droTvWVfiw2sjIiLIjjhJ84ALczm9nZ24y8uNpb8uLNG2AX76+nOGtHLD3pT3VjIYFE+18GTFL9+WeNvr168nI9GAq3O5gjJX53KkJyk2btxYUPbS62P4NX4ne2NPkpCZytboI2zUETw97Nlitf/Jux9xt3cr/F19MCgDVcsF0cyuDl98WvJ7vi785VecsgNwtHcpKPNxq8Txg5FERub1XhoMBoaPG8nPZ9ZxPDGS+Ixk/o3awznvXO69/9ZYMMnT05MHn+jNiqi/OZsSTXxGAuuit1ChYSBNmjQp8ppfvp3B4BYmnB3yhkgrpXikmQcbVy8u9EGDuEFGR3CrVbxDCCGEEOISpZ5waq0jgcnAKfISzSRgG5CotT7/tBgBVMz/uiJwOv/a3Pzzy19ar1JqkFJqq1Jqa2xsbMnexCUS46Ko4Fl4yKZSivKuitTU1BJtOyEhAR/Hy4cR+jjZk1AKP4fE+Dj83Au372BngNyskm87MRFzzuVvYUuOkfj4Cz2aISEhfPHzXFSHKqx3j8G3RyjfLJyPr69vsdpPiIkrWPjovCqeFdm7Y0+hMq01u3bt4uMPPmTmjC+Jjo4uVrsA0dGx2BsuH65txJGEhISC77t07cJ7c6aS2sSdXeVjCR10N7O+n4Ojo2OxY7CWwc8NZszn40kOMXMqKJ7e4/rxyfRPLxsKfF58bDR+HoX/vhkMChf7vFV5xc3SoC3FO4QQQgghLlHqcziVUuXI67UMBhKBn4C7izj1/Mo3RT11XrYqjtZ6BjADIDQ0tFRXzQlt04W/fv+H6v4XHuKT0nKJTncu8VVka9asyeG0LLJyzTiYjAXl6+OSeaB9hxJtGyC0dUfWHFpIWMiFXsYj0en4Vrr5BYCuV5MmTcA+Fa11QXKitUbbpxIaGlro3MDAQF4Z/6pV23dycyYjJxMnuwu/9+jUc1SqVrnge60177z2Bgf/2EQDpwASLTk8OfM7Xn7vDdp36HDTbXfs1I5Vv6zHm8CCMrMll1xT6mWLL4WEhPDO5Hdvuq3S0KJFC1q0aHFd5zZt14W/tk6lb9MLSWd0UjY4++Ds7FxSIZZ95kxIOmjrKIQQQghRxthiSG0YcFxrHau1zgEWAK0Az/whtgCBwJn8ryOAIID81z2AwhPybOzubveyK7U2M/5M5sjZDNbtT2HED9k8N+qdKy6cYy0ODg48/sII3t55iB1nYzgWn8hX+45irlrruh/gi+Oxp4cwP9yDn3ckcDw2gxX7Epj4j2bYK2+VeNuBgYH07Nuds0l7SE47R3LaOc4m7aFX33tvel7ojXhiyFP8HrORjJxMAJIyU/g7eSeDhj9TcM7OnTs5+McmHg5qST2fKjT1q8GAgFZ88OrbxRr+2apVK2qHBnIiaQfJ6ec4lxJBeOp6Rr7yPA4ODsW+t1tZr76Psjo2kNkbEjkWk8FfB5J4ZXk2w8ZMsHVotzcNWHTxDiGEEEKIS9hildpTQAullDOQQd6m01uBv4Be5K1U+ziwKP/8xfnfb8h/fbW2xb4fV2Fvb8+nX85n+W9LmffPKrx8/Xnjs8cIDg4ulfbv6/EgNWrXYdH380lJTKDdQ08R1rlziSe7AF5eXkz/bjGLFvzEvF2bCaxRi0/GPVrs4arXkp2dzd69e7n/gXtp26410//3JSh4bsjEUkm0Ae7v8QAGg4GZU2eQEZ+Bl1953vx8AvXr1y84Z/WK32noXLHQ8FBnO0cqKFcOHjxIvXr1bqptg8HA9C8/Z9Wq31m2eAXlyvnw6GOjqF27NpDXs3rgwAEyMzOpV68e9vb216jx9uHs7Mz/Zv/C0sULmbdpLb4VK/P+zMeoWLHitS8WVydJoxBCCCGsTNkid1NKvQn0BXKBHeRtkVKRC9ui7AD6aa2zlFKOwFygMXk9mw9prcOvVn9oaKjeunVrCd6BsKU/Vq3is7ffoaajC3Fpqaw/Fk7NgAY4OziR5JDOpKnv06BBA1uHCcAXn08j6ocNhFaoXqh8XuRG3p77GVWrVrV6mydPnmTcsKcJNKTiYoI9iTBk3ATad+xo9baEbSmltmmtQ6995rWF1nDVmz4q3t8b030brhqPUmoW0B2IyV+l/NLXO5D3YePx/KIFWuu38l87AaQAZiD34naUUsOAoeT9n7JMa/1ysW5EXJH8/yqEEKIoV3smsck+nFrr8cD4S4rDgcv2QdBaZwK9SyMuces7e/Ys0994i3G1G+BkMnH00BHaVanPrIgI7m7Uj5TsVEYOHsGSNctuiaGl9/a4n8Gzf6RubhBOprx4TiRFg7dzifSAa60ZN+xpRta2UM07r5c5JSuHEW+/TEi93/Dx8bF6m6Js0LmZ6MQSn8P5DfAZeXsrX8k6rXX3K7zWUWtdaL8npVRH8tYFaJD/IWXJDq8QQgghxA2x1bYoQtyU5YsX08nTG2c7O1JTU7HTJiq7elDB3kBM2jncHdzwN5fn33//tXWoAAQEBDB8wji+jt7AorPbmR+5iX8copg8feoVV2EtjgMHDhBkSKGa94XVc90c7LivkomVvy21enuijCnhOZxa67VYfw7+s8AkrXVWfhsxVq5fCCGEEMVgkx7OW1FycjKffvQOu7b9DWhq12vBi6PewMvLy2ptZGdnM+3jD1n72xKUthBUozYvvv4WlSpVslobtrZ//34+fusN4s9EoI123NP3IQYMGmy1+aRpKSm4GfNW47VYLKj8RYydjSZyLHmL8NhpIxkZGVZpzxrCOofRrn07Dh48iIuLC1WrVr1msvnrzz/y/VfTsGSm4+LlzaCRY2nZqvU120pPT8fV7vK6XUyK6LSS3aJH3OY0cGvsbNJSKbWLvIXjRmqt9+WXa2CVUkoDX+SvTA5QE2irlJoAZOZfs6XUoxZCCCFEkaSHk7xhiC+/OJA7fDYyb3wA88ZXpFP13bw4tB8Wi/WewN4ZOxr7LSv4X5tKTG9flZ6mWEYO7E9KSorV2rClM2fO8PozTzHADaY0q8P7jYKJWPQj/5syxWptdOzalXWJcWitcXFxIZsc0nJyOJyWir+rL2aLmZM6qtQWDrpe9vb2NGjQgGrVql1Xsrnuq8l82MyTGWGVGFvTwLRxL7Bnz56rXgfQoEEDdsVrUrMurICrtWZlRC7tO3Up9n2IMs5SzAO8z++HnH8MusEItgOVtdYNganArxe91lpr3YS8bbSGKKXa5ZebgHJAC2AU8KMqieEDQgghhLgpknACe/fuxdshks4tvFFKoZSiTSMvQvwT2LBhg1XaiI2N5eSOTfSuUxFjfm9fbV8POpWD35YsusbVt4cf5s6ml385gjzcALA3Gnk8JJg1ixeSnZ1tlTbq1atHna5d+OjAbrZFn2WfOYNx+zcQ4FWdg3FHWRT9J0++8BTly5e3Snu28MPM6bzYtCIu9nkDEHxcHRnawItvp0+95rX29vY8O/YtXvormt8ORrPmaCyv/HWGkM69qFWrVkmHLm5nRkfwrF28A85prUMvOmZcq9mLaa2Ttdap+V//Btgppbzzvz+T/2cMsJALc/4jyFtcSGutN5OX+npb5WcihBBCiGKTIbVAZGQk1fwvn39UI0ATEXHaKm1ERUVR2dXusvJq7o7sCj92xevS0tL44bvv+ffPtXhX8KHfU48X2nbjVhJx7BgtPVwLlRmUwtveRGJiotW2Shk5biz7ezzA37//QZC7G7MaNmTLxs15r3Ufb5UhyhaLhVUrV/DH0vkoBWHdH6HLXV1LZN7lpcyZabg6FE6Yq5V3I2Lz8StcUVjHTp0JqdeAFUsXk5CexvMjuhZslyLEFZkzIaHEFw26KqVUBSBaa62VUs3I+1A0TinlAhi01in5X3cBzm/2+ytwJ7BGKVUTsAfOFVG9EEIIIWxAEk6gTp06LJ2n6X9J+ebDin533dw+iZcKDg7mcHI2Fq0xXJS0bI/LoP6DRe8ikJ6ezhN9+uMX70wTzyokxaTwyoAXGPbWSLrec7dV4rKmeqHN2LX8Zyq6X0g6M3NzOWfWVu9xDAkJISQkpOD7Jk2aWLX+d998BRW5jCGtHNEavvtxFDu3rmP0qxOt2k5R3Mr7EZOaia+rY0HZ1og4Qhpd/zBhPz8/Hh/4dEmEJ8qqUpjDqZSaD3Qgb+htBHmrldsBaK2nk7fX8rNKqVzy9ml+KD/59AMW5n/gYwLmaa1X5Fc7C5illNoLZAOP32p7NQshhBD/ZTKkFqhcuTI+lVvzyQ9niE/KJik1hy9/PUOuU13q1q1rlTZcXV0J6/0o7285QVRKOuk5uSw6FMl+Qzk6hXUu8ppfF/yKT7wjzf3q4eHgSiUPf3r4t+fTSVOsOrfUWno+9BCr0zVrTkSSbTZzKimF93Ycof/Q5zHmL/RzOwgPDydq/0pevs+dSj4OVPZ1YMwDbpzY8RunTp0q8fYHjRzLO5ujORCdRI7ZwsaT55h5LIsBzw4t8bbFf5vWqljHtevXD2ut/bXWdlrrQK31TK319PxkE631Z1rrulrrhlrrFlrr9fnl4fllDfNfn3BRndla635a63pa6yZa69Ul9gMSQgghxA0rkz2c8XFx7N+/v1AP2LW89uYHLFzwM6/NnY/ZnEunrs/xbu+HrTqEcuCzQ/ijeg2mzf2G1JRkWnfuxecDnsTe3r7I8zevXU8118BCZY4me5zN9kRHR+Pv719Qnpqayuo//yQ1JZU27draZOVbd3d3ps3/gdlffsH4dWsp7+vHwEkf0rJly1KPpTh27dpF66pZ5I3cy6OUonXVLHbt2lXiP9vmLVrgOvVrvp0+ldNbwwlp1IIpbwylYsWKJdqu+I8zOaI8izv02jpz3oUQQghRdpTJhDMjNpk3nxxFpWa1eO/jyde1JYfBYKBnrz707NWnxOJSStG5y1107nLXdZ1fsXIQcfuP4etyYWsWrTWpuel4eHgUlO3cuZNxz71IXWN5nJWJn6fOJOzhHjz3wjCr38O1eHl58eLoMTB6TKm3bS1+fn78k3j5hwAnE+3p7OdXKjHUrVuXd6dOL5W2hAAgNxMdb9s5nEIIIYQoe8rkkFpnO0d6BbQmYfNxflu2zNbh3LS+/R9mW/ZRkrLy9k+0aAsbY/fQqks7nJ2d88osFsa/8DKP+4USFliPVhVrMyi4LX9/v5j9+/fbMvzbVvPmzdkb58v2Y2kFZVuOpHIkyY/Q0KLn2wpx29OARRXvEEIIIYS4RJlMOM+7w7MGy35ebOswblqlSpWY8L/3+Yu9/BC1mu+i/qDS3fUZM35cwTmHDh3C22yPp+OF4Z8GpWjmEsjvy5bbIuzbntFoZPL/5jHvUH0GzMjg8S8y+Cm8MR98/t119ZaLkpOenk54eDhpaWnXPlncMG1RxTqEEEIIIS5VJofUnmfWFkym2/sW7wgN5affFpKRkYG9vf1l92MymTAXsSBjjjbjaH/5Nizi+vj6+jJl2rdkZWUB4ODgYOOI/tu01syc9QV//rmU6tV9OXYshpYt72TIcy/IhwBWI72UQgghhLC+2zsbuwqtNesTDvDUyyNsHUqxKaUKhtBeqnr16qS6KKJSE6ng6glAjtnMprTTfHTfm6UZZpkkieatYcnSRUREbmbOt89iMBjQWjPloyX88OM8Hn6on63DKxuMjiiv4i4a9I9VQhFCCCFE2VEmE86UnAzmRv5Fhx5d6HjnnbYOp0QppXh/2qeMeOpZAhIdccTE4exzPDFiKMHBwbYOTwirWLToB977oEdBb6ZSisHPdGHos99KwmktuZnouEO2jkIIIYQQZUyZTDjLVfThqyXf4VdKK4raWtWqVfnl99/Ytm0bqamphIaG4u7ubuuwhLCa9PQ0PDxcCpU5OzuQnZNlo4jKJpmHKYQQQghrK5MJp5ub238m2TzPaDTSrFkzW4chRIlo2LAp69bto337+gVlW7ceoUaN699rV1wHSTiFEEIIYWVlMuEUQpQtA598hhdeeJozkfE0bBTM/n2n+XXhbj6cLHuVWo1V5nBGWyUUIYQQQpQdknCKy2zfvp1FPyxEawv39n6A0NBQlCrc8xEfH88P837k8P4jNG7WiAd79cDV1dVGEYuyzsfHhy+++JalyxazaOEBqlSpwRfTX5ah49aUm4k+J3M4hRBCCGFdknCKQj6b8imrv1tOI5caAExaPZ42fcJ48aLVfk+cOMGTDw+ifEYg5ey9WfTv78yf/T3f/TIXLy8vW4UuyjhXV1ce6vuIrcMowxRay5BaIYQQQliXbGAnCkRFRbF83mLuC2hHFc+KVPGsyL0Bbfnzp+VEREQUnDdh/CSCc+tTzbMOXs4+1ChXH4+EikybKsMbhbitWQzFO4QQQgghLiFPCKLAtm3bqGzww6AuvC0MykCw8mXr1q0FZUf2H8XHpUKhayt5VGPdX7IH38XOnj3LypUr2b59OxaLxdbhCHFVWuetUlucQwghhBDiUjKkVhTw9PQkXV2+zUSaIRtPT8+C7+0dTeRacjAZ7ArKMnLS8PQrVypx3uq01nzy3ntsWbaMhi4uxJjNfOTkxEdffYWvr6+twxOiSMrkiPKuVcxaIq59ihBCCCH+UyThFAWaN2/OJKc0olJjqeDqA0BMWhwxjim0bt264Lzej/bi12krqecZilIGLNrMgdRtvPzGcFuFfktZu3Ytx1as4PX69QsWW9obG8vbo0cz9euvbRydEEXTuZno2MO2DkMIIYQQZYwknGVEZmYma9euJTU1lVatWlGhQoVrX3QJk8nE57O/4JVho0g5uwcFOPu5MfXTadjZXejNHDjoSeLj4vlt4UqcDW6k62S69OpEcnIymzdvJjQ0FIOh9EZrJyUlsW7dOgDatWtX6iuX5ubmkpqairu7OwaDgd9+/JHuFSsWWtm3no8PP+zeTVpaGi4uLqUanxDXR4bFCiGEEML6JOEsA/bu3cvbo56ifWAa7g5mXvnKno49B/P4wGdvuC5HR0fcPNw4FxGFAnzd/HF0dCx0jsFgYPS4lxn24lDOnj3LxLfeY/XCjfw7/yA5Dqm4BZr4+ruv8PDwsNIdXtkfq1Yw86OxdKmRCcDgzxx56qV36dT5rhJvW2vNF59/wS/f/oSDtsfsYOHZF5/DYjZjVJc/uCuQuZzi1qUBLdP6hRBCCGFdknDe5iwWCxPHPMcH3TT++fMsezXVvPDLdFq27UTNmjVvqK5nH3uaO7Ir0aFyVwBORZ/luccG8fOKXzEajYXOd3Z2Zu2atZzZnkKIZxvI34Yz8vQxJr41ifc+fNc6N3kFycnJzPxoLF88YoezQ15S/GComcEfjqFp85Yl3tM55+s5/Pn1Srr7dMZoMJJtzmb6W/+j64BurFi0iKfd3Qt6OY/Gx+MeGIibm1uJxiREcUgPpxBCCCGsTRLO29zhw4ep6paGv6dzQZnRoOhVz8Lvvy2kZs3R113Xli1bcE82ElwhoKCskoc/h6Mi2bBhA23atLnsmgU/LqaSW+NCZQFuVVn/96qbuJsb888//9CpWmZBsgng4mikU7VU1q9fT9euXUu0/e+/mU9n73YYDXmJuL3RnuYeTdi1eTeVmzfng/XraezsTIzZzD6t+Vjmb4pbmckR5XP9H1AV7bhVQhFCCCFE2SEJZwlIT0/nu2+/Zu3aFTg6OtH93oe5774HCs3psxaDwYBFX15u0QqDwXj5C1cRGxuLm8XxsnI3syOxsbFFXqOUyttPoRCdN360hBkMBnQRDVk01z2HNDY2llnTprH93/V4+/rwyODBtC4isS5KbmYO9q52hcrKOXmyNWoPM7+byeHDh9mxfTshfn682qZNoXmwN+L48ePM/uJjjuzfRaXgGvQf/CIhISE3VZcQV5SbiSXmiK2jEEIIIUQZIxN2rMxsNjN82JM4qL/55N36jH+5Mru3fcXHU0pmeGmNGjU4leFORPyF7UxyzZof9yi63NPjhupq2LAhJ/U59EUJpNaak5yjUaNGRV7T+5GenEjdV6gsIuUY7TtdX9JWHG3atOHPY46kZJgLypLTc1l9zLHQqrpXkpCQwLMPP0yF7TsYH1yVXhiY+coYFi9YcF3tV6jkT1x6fKGyI/HHad6mBQA1a9ak70MP0bFjx5tONsPDwxn7TG/udlzHzAcsPOS7g0kjHmH79m03VZ8QV6QVWAzFO4QQQgghLiFPCFb2zz//ULVyOr0eqI2jowmvck6MGNqEnTv+4Ny5c1ZvTynF6+9/wZhVdkz9K5k56xN4+vs0wh56gWrVqt1QXUFBQTS/ux3LIjcQlRpHdFo8yyM30bBTc4KDg4u85pFHH6JW24rsTf2bYwm7OZC6Hodq6YweN8oat3dVrq6uPPfKZJ6Zn8uXa5L58u9knv3BzNBxH17XSrA/zZvHnY5OtAioiNFgIMDNjeEhdZk9dep1Le7zyptj+CdtE0cTjpOclcK+uIMcdTjBoCGDrHB3eWZ9/gEvtdY0ruKGwaCoU9GFN7o48uWUd6zWhhDnaYsq1iGEEEIIcSkZUmtlBw/s4o5G5QqVKaVoEOLBsWPH8Pb2tnqbNWvWZM7Cv9i4cSNpaWl82rw5Xl5eN1XXmPHjWN3mTxb/8CsWbeGxl4YQ1rnzFc83Go18+Mn7fDt3LpvXraNm3bYMevbZUtv6o12HjtzRdC0bNmwA4PFWrXB2dr7GVXn2b9vGg+UL/z4cTSY8UCQmJl7zZ1i3bl1mLZjNnJlzCD8cTqPujZjw+Ac3/bMvSvihvdTvWfhnGejlQFJspNXaKC1aa3bs2MGGtb/j6u5JzToN2LFpM0aTka733kvlypVtHeJ1i4iIYOWKJWRmZdKx411lY4izyQHlW6OYlciQXCGEEEIUJgmnlQUGBXP40BratCxcfvR4Kn0rViyxdu3t7WnXrl2x61FK0SksjE5hYdd1flpaGs/170fV9BTC3N04seZ3Bqxcziez5xIQEHDtCqzAxcWFsOuM92KVqlfnxOYt+F2UHJstFhJyc657NdmgoCDGvTHuhtu+Xn4BlTgee4Sqvk4FZfGpOTi4lrvKVbcerTUTx48m+dAK7q6tWbg8ga/3aXrVbIjJyZGX5/1An+eH0vOhvrYO9ZqWL1/KvG8/4sH7gnD0MfHZp8upW78rQ4aMsHVoxaJzs7BEH7V1GEIIIYQoY2RIrZWFhXXh380ZbN1+Bq01ZrOFn389jIdnLQIDA20dntXNnfkVzXMy6V+rOo39/ehRLZj+3p5MeedtW4d2TQ8NGMCiuHOcTk4CIDM3l9lHDtG1T5+bnnNpbf0Gj2Dymixik7MBSErPZdIfqTzy9As2juzGbNmyhbTDy5nwgBtV/RyJirDwUdO6VMJCy4pBvFKnEd9+OpWkpCRbh3pV6enpfDPrQ6a8144uYTVp16Yq773dlt07lhMeHm7r8IpH5nAKIYQQogTIE4KVOTg48PEn37DiL2eeeG4dA4euJyGtMW++/aGtQysRfy9fTsdKhRPpuj7eHN2zxybxaK05ePAg27dvJzs7+6rnBgQE8M6MGfyiLYzZvYu3jx2hfr9+DBo6tJSivbY77riDJ8ZO5fV/PXl8fhoj/3Dk7sET6XzX3TddZ2RkJJs3byY+Pv7aJ1vJP38u4566eXP81h9Kppm7L3ZGAw5GC1mZWdgZjTRxcWfLli2lFtPN2LlzJ03vKI+T04UPJAwGA3eF+bNu3V82jMw6ZA6nEEIIIaxNhtSWAD8/PyZO+tTWYZQKZ1dX0nKycTBdGPJp1hplvLEtWazh9OnTDB44hORzORhcMdduAAAgAElEQVSwI9eUwpvvjKNzlysPt61Tpw7TvvuuFKO8ca3btKN1m+IPl87KymL8qy+SFLuXqpUcmXowjeZt7mfIsFElsmXPxZxd3Uk5m7cQk7ODkXRLLgBmDQZj3udeadpy3fNvbcXZ2ZmU1NzLypNTc3HxcLVBRNaldcm+D5RSs4DuQIzWul4Rr98PvA1YgFzgBa31P0qpysACwAjYAVO11tPzr1kB+JP3/9k6YIjW2nxp3QKUUkZgKxCpte6ulAoGvge8gO1Af6311T+pE0IIIW6Q9HCKYnmw/2N8f+xkoa1Ulh4/RYd7updqHFprBj81FBUfQKBLEwJc6uNvCuXV0W8TFRVVqrHcqj6f+gH1Kx3n41fr8PxjwXw5oS6xJ5axYsVvJd52t/t7M3+nkfQsM+3ruLMlJYbIlEwsyh57O3uiUlM4bMmhWbNmJR5LcTRo0IAjx3I4fuJC73BCYgbLV56lc+e7bBhZ8SmTA0bfGsU6rsM3QNervP4n0FBr3Qh4Evgqv/ws0Cq/vDnwilLq/CTxPlrrhkA9wAfofeN3/58xHDhw0ffvAVO01jWABGCgTaISQghRpkkPpyiWbvfeS/jhQ4xZtIiars6cysgksFET3hg+vFTjOHLkCMmx2QS6lC8oszPa45jrz+JflzDomadLNZ5b0YZ/VjDn/QurqSqleKpvZd6dOYe7776nRNuuVKkS/YZP4ukpr9OgQi6egV6M3neENtVqYzi6nyiTYtL0aZhMt/Y/SQaDgYnvfs6r44YR4A9OjkYOHErlpZHv4unpaevwikXnZGGOOlaybWi9VilV5Sqvp170rQug88sv7nVz4KIPS7XWyflfmgD789eIwpRSgcA9wARghMob1nAn8Ej+KbOBN4BpNglQCCFEmXVrP93ZSHZ2Nl9M/ZC1Kxdi0GYCqtbhhbETbqttG0qLUophI0fR/6mnOX78OAEBAfj5+ZV6HBkZGRgueTvHxsRyJuos77/zIX+tWsNr74wrG9tXFCE+Pp7Jb01g18a8OZB3tG3FyNfG4u7uXnCOQVkwGAoPmXR1tiMjo3Tmcna+627ad+zEgQMHeNjNjcqVK3Pw4EEMBgO1atXCYLg9BlxUqVKFud8u5siRI2RlZVGnTp1bPlG+PrfGPEylVA/gXcCXvATpfHkQsAyoDozSWp+56LWVQDNgOfBzqQZ8+/gYeBk4vwR3eSBRa31+jHgEUHJLqQshhPjPuj2e8ErZu+NH43Lke+b0cWLuw24MCDrEK88+QnJy8rUv/o/y9PSkcePGNkk2IW8uptkujZzcLACio6JJjE0iVyfRqWJ3yp+tzHOPPc+ZM2euUdPtx2KxMPTxgfgfiGVUtbaMqtYWz50RPP/koEJDnSsF12PnvnOFrl38ZwRtO5Te8Gd7e3saNmxI1apVMRqN1K1blzp16tw2yeZ5Silq1qxJ/fr1y0iymdctqHXxDsBbKbX1omPQDceh9UKtdW3gAfLmc54vP621bkBewvm4UsrvotfuIm8epwN5vXbiIkqp8/Nmt11cXMSpRfYOK6UGnf+dxsbGlkiMQgghyq6y8aRkRXFxcZzcvZYxPS/sc1gnwIV7ghNZtnghD/d73IbRiSuxt7dnwnuvM/rF8Tjk+HEmJhqLTiLYOxAflwoABGZVZ+7X3zJ63Ms2jta6Nm3aRPmkXBpUqlRQdodfFQ6e3M7u3btp2LAhAC+OfIOXhvenY2gK1So5snVfOsfOevHJZ/KeFnlzOA1+1YtZy55zWutQa8STP/y2mlLKW2t97qLyM0qpfUBbLurN1FpnKqUWA/cDv1sjhjKkNXCfUqob4Ai4k9fj6amUMuX3cgYCRX4ip7WeAcwACA0NlSHLQgghbogknJeIiooiuNzlvS01vI38c7J0NkWPi4vj++/ncuDAToKCgunT5zGCg4NLpW1b2L9/Pz99P5NzsWdo0rQDvfs8iqvrja/42aFDB5as/Il5383niykzaed/Fz4uF3pcvRy9CT9y3JqhX1FKSgo//TiPHdv/wcfXn169B5TYcN6I06fxxeGy8goGJyIjIwsSzoCAAGbNWcqqVSs4dDqc5mFNGNm2HUYbrChcVh07dozvZ33JmZMnqN+sJX37P0a5cuWufeEtQOdkYT5r271ElVLVgWNaa62UakLenMy4/PmHcVrrDKVUOfISqI+UUq6Am9b6rFLKBHQjb6VacRGt9RhgDIBSqgMwUmv9qFLqJ6AXeSvVPg4sslmQQgghyqzbaxxbKahSpQr7YzUWS+EPcTedNlO7YcmvoBkTE8OQIf0JCDjGyy/Xo2nTNMaNG8yuXbtKvG1bWP3n73w44SnuvuM4owcYcUhbwHOD+pKWlnZT9fn6+jLs+aEEBFbA09Gr0GtR6RHc0eIOa4R9VampqTz7zCM4qNWMHOpLWNsEPpj0HH//XTL7NIbUrUu4JfWy8qO5ydSpU6dQmZOTE/ff34Pnhr5Ehw4dJdm0oq1btjDuyUdpcmYXQ30suKxfwuC+PUt1v9Pi0loV67gWpdR8YANQSykVoZQaqJR6Rin1TP4pPYG9SqmdwOdAX503LrwOsEkptQv4G5istd5D3sJCi5VSu4FdQAww3do/lzJsNHkLCB0lb07nTBvHI4QQogxSF8/xKitCQ0P11q1bb/r6WV98xuFVM3imlQueziZW7EtmZUwgX3y7EHt7eytGernJkycQEhJH+/Y1C8oiIuL58MO9zJgxr0TbLm0Wi4VH+4QxdVwQbq4Xfq7fLz2JyecRHu034KbrXvjLQqa+OZ06Lk1wd/DgZNIx4j0i+XHx94UW0ikJs7/5CkPu7/S8v1ZBWXJKFi+O3cl385Zbfb6i1poRzwzB7sAZ2leojkVrVkcdxqlpbSZ+9IFV2xJXNqDHvYys5ICP64U9af8MP8u5Jp15ftToEmlTKbXNWkNYG/k66z961y5WHT7/22G1eMStqbj/vwohhCibrvZMIj2cRXhi0BDCnpnMh3sDefFPZ1JCBvLZ1z+WeLIJsHPnZlq3rlaoLDDQi+TksrdQQ0JCAuU9LIWSTYA2od7s3La2WHX36NmDiTPeJLPaOfbabaBhrxrMW/BtiSebALt2baBV84BCZe5uDni4aZKSkqzenlKKDz7/lEZP9+L7rBP8lHuK1kP7887k96zeliia2WwmM/5coWQToEWgD7s2rrdRVDcqb5Xa4hxCCCGEEJeSOZxFUEoR1rkLYZ27lHrbfn7+nD4dT3CwT0FZRkY2YFfqsZQ0V1dX4hJzsFh0oe06TkWm4leh5lWuvD4tWrSgRYsWxa7nRvn5BXI64jT+FdwKyiwWTUJiNi4uLiXSpslk4pH+/Xikf78SqV9cncFgIMdgJNtsxv6iYcoRSan4+AfZMLIbYHLAWKHatc+7qu1WCUUIIYQQZYf0cN5iHnpoIFOnbiAlJROAnBwzn3/+L/fd19fGkVmfg4MDTVvezZyFJwrmzMbGZzDzl3P07HP7rpzau8/jfDU3nHNx6UBesvnNd/to1fruUuklF6VPKcU9fR/l6z2nyLVYAEjOzGbW4RgeGfTMNa6+ReRkkXs2vFiHEEIIIcSlpIfzFtO0aVMSE4fzwguf4OICKSm53HNPHx5++DFbh1Yinn/hFT6fauDx0UtxczGSo115ftSU23pV3qpVqzJs+CTGvv0O9qYMUtPMtG13D0OHjLB1aKIEDRg0mFkWM8//OB83I2TaOzH4tQk0aNDA1qFdl7x9OOUzSCGEEEJYlywadIvSWpOeno6Tk5PVF5m5FeXm5pKVlYWzszNKlY25YOd/h46OjrIa7H+I2WwmMzOzVN7L1lw0qKGPi175QL1i1eH/1WZZNKiMKwv/vwohhLC+qz2TSA/nLUopVWLz/W5FJpMJk6lsvR3/a79DkcdoNN6mv/fr29pECCGEEOJGlK0nfCGEEDdF2TlgCqhazFo2WSUWIYQQQpQdknDmy8rKYvrUaaxasgKLxYKbdzni45LIyTHTvHUoo0aPwMfH59oVidvKyZMnmT7lHU4c3oOjizs9+z/LPfc+UGaG9QpxvXR2FjmRx20dhhBCCCHKmLI/OfA6DR88jP0/b+Me13aYog3s/OM46Ye9CDK0YteqaB7p/Tjp6em2DlNYUUxMDK8824cHfbcw+xED73VOYsO815g3Z6atQxPCJmQfTiGEEEJYmyScwKFDh4g5cIY7fOqTY87hcMxpqjo3xpBjICM9HT/3SpjjXVm6ZKmtQxVW9NO8r+nXIJ1GlV1QSlHOxcS4u91YPH8Gubm5tg5PiFJ1fpXa4hxCCCGEEJeSIbXA8ePHKY8HAAmZSTgY3FFKYcRIVlYWLi4uOBnKsW/vQSh722H+Zx0/tIfudR0LldmZDPi45JCcnIyXl5eNIhOi9FlnDue/VolFCCGEEGWHJJzk7ZsYRxIA5Rw9yLQko7UmFzMOjnkJSbo5nnoNOtsyTGFlVWs3ZE/ETgLK2ReUZedaiE034OHhYcPIhCh9Ojub3AiZwymEEEII65IxUEDNmjXxrxfE1pjdmAx2hPhW5lj6dix2FpycnIhOPoGddxrdu99j61CFFfV+ZADf7XZl+/FUtNbEp+bw9rIUHuz3nOybKf6TtFbFOoQQQgghLmWTHk6llCfwFVCPvKlDTwKHgB+AKsAJoI/WOkHlLRf6CdANSAcGaK23X63+5ORkzpw5Q0BAwHXHNGXaJ3w1/UuWL/wNcwUzzZvUJiYmnojM9bTp3ooXX/oQJyenK16fmZnJrwt+YfPq1ZT386PXY49Tq1at625f3BytNX+vWcPKBT8C0LVnX9q1b39dq8z6+Pjw/hc/8eXUSXw8fzsubuXpNeB1unbrXtJhi9vc5s2bWfbTHLIzM2nf7UG63NUVg+H2//xOkkYhhBBCWJvSWpd+o0rNBtZprb9SStkDzsBYIF5rPUkp9QpQTms9WinVDRhGXsLZHPhEa938avWXdymv76h9Bx3u68CY18eU+BYXWVlZPPPoI9TLSKalvw8xaen8GBHDwNfeoFOXLiXa9n/dB2+/Sey/K+kRXB6ABeFx+LXtyshXX7dxZKKsmjX9M/b89hX9GznhZGdg4f500gJa8c7kz0p9Ox2l1Datdag16mpQ3k0vueuOYtVRZf7fVotH3JpCQ0P11q1bbR2GEEKIW8zVnklKvYdTKeUOtAMGAGits4FspdT9QIf802YDa4DRwP3AHJ2XGW9USnkqpfy11mev1IaTyZmw8p3559d/+LP1n4SFhZXY/QAsWbSIkIwketbMW3AjwM2V6l6evPHeu3QMCysTPR+3olOnTnFwzUomtqhS8KA/0suNV1Yv59RjA6hUqZKNIxRlTUJCAqsXfM2MB7wxGPLecyPaO/P6qo3s2bOHBg0a2DjCm6fsHDAFBhezlr+tEosQQgghyg5bDKmtCsQCXyulGgLbgOGA3/kkUmt9Vinlm39+ReD0RddH5JddMeEEUEoR4hrCL9/9UuIJ57a1f9PV17tQmau9Pd4GiIqKuqGhvbeK83uOOjs72ziSK9uxYwfNPIyFepWUUjQvZ8fOnTsl4byNZWdnk5mZiZub23X3GiYnJ+Pg4ICDg0OJxbVv3z6a+quCZPO8doGarRv/va0TTp2dRc7pE7YOQwghhBBljC0SThPQBBimtd6klPoEeOUq5xf1tHnZOGCl1CBgEICnoycABmXAYrYUO+Br8QkIIHrHKSp7ul8IUGsSsnJuu9VOY2JimPjmSyScPYhS4OZdnbFvfIS/v7+tQ7uMt7c3u3Iuf3tEZUMDb+8irhC3uuzsbN59cwIb/liHo7LD4O7A2AmvEdq06RWv2bNnDx9++BZGYzqpadmE1All1KjXSuTDEm9vbyJTL3/PRaZCgN/t98HSxTRK9tIUQgghhNXZ4ukiAojQWm/K//5n8hLQaKWUP0D+nzEXnR900fWBwJlLK9Vaz9Bah2qtQ13sXQE4mHqQe/vcWzJ3cZGej/bjl6g4EjMzz8fC8uOnqduqDS4uLiXevrVYLBZeGtafR5qeYOYoX74a6csTbSIY9Xx/zGazrcO7TIsWLThoceRATGJB2f6YRA5bHGnRooUNIxM3662x40lYc4zHAsLoG9CBLnb1eW3oaCIiIoo8/9y5c0yYMJJXX2vOp5/1YOasPoTUTefNt8aUSHy1atUiwaEiG48nF5Qdj03nrzNOhJWB+doWrYp1CCGEEEJcqtR7OLXWUUqp00qpWlrrQ0AnYH/+8TgwKf/PRfmXLAaGKqW+J2/RoKSrzd8EyMzJYE3cX9RrX49u3bqV2L2cV7lyZV58/0MmvTke5+wsknNyadSuPaNfH1/ibVvTli1bqFshkSa1LvQONqjuTqOgWDZs2ECbNm1sGN3ljEYjk7/8hndeGUnK+uOgNW5BwUz+crLMm70NpaSksH3dZvoFdCoYRuvh4Mod9tX4ad4PvPjyS5dds2TJQh7sWQv/gLxRDUoput1Tn5UrfiU2NhYfHx+rxqiU4r3PZjHx1ZeYtXAPdkaFwd2fCZ9Pueoq1rcDZeeAXcUqtg5DCCGEEGWMTbZFIW/V2e/yV6gNB54gr7f1R6XUQOAU0Dv/3N/IW6H2KHnbojxxrcrdK7jz0Xcfleq2JC1atmT+8pUkJCTg7OyMo6NjqbVtLbGxsVQsf3lPZmB5M7GxsTaI6NoCAgL435x5JCfn9Ti5u7tf44rbW0xMDLO/+pTdW/+hvI8/fQcMo2XLVrYO64ZlZ2fz/bezWb1kAQajkbsefIiWbdrhZnK+bM6ml6M7kSeL7uGMjT1DzVqXD1v3D3AjLi7O6gkngJeXF5P/9zVpaWnk5OTg6elp9TZsQedkkR1x0tZhCCGEEKKMsUnCqbXeCRS1bG6nIs7VwJAbqd/Ly8sme2AqpfDy8ir1dq2lYcOGTPhW8VCYLnjo11rzz34DLz3SyMbRXV1ZTzQB4uPjGf5UDwY2T2L4Y25Exh/mo48GEf/Y29xzbw9bh3fdtNa8PGQQNVMPMbGxD7kWzQ8LPmPPti2kqAyycrNxMNkXnH8kNZLOHXoXWVejRi35999vadS4ckFZdnYuhw7GERxc3BVXr+52Gi5/vWQfTiGEEEJYm4w7FAWCgoKo3uge3pkTzdGINMIj05n0XQwVa4eV+MO7uLaf5s/mocZJdGzgjtGoqOTjwMS+Lsyd8QEWS8kvjmUtu3fvxiH6EI829MfF3oSHox2DQgOI27+JPk8+ys9n1nI8MZKEjGTWn91Dop+Fe+7rXmRdd955J8fDFd/MWk9kRDx790Qw5pWlPPzwoBJdrbYs0rr4hxBCCCHEpWw1pLZMyM3N5a/VqzmwawsVq1Sna7fut22vx549e1j+20pc3fwI6jiK2Rv/wGLRhD3Ql7CwzrYOTwAH92zi3laFh2o7Oxgp55BJSkrKbbMi8oH9+2hUxCjURuUUAYEVeX/OVL6bOYeT0TG0fbgbPXv3vGLyaDKZ+OSTL1myZBHTp/2Bm7sHzwx+h0aNbu0e+VuTrFIrhBBCCOuThPMmpaenM/ypR6hlOE1ogIFjh8w89fVnfDBjPoGBgbYO74a8+eY7LFmwChOemLUZbUxk4ntv0KWLJJq3ksAqtTgUuRe/cheGm+aaNfHpxtvqg45KlauwOvXy8qOpiraBgYSEhDDhw0nXXZ+9vT09e/amZ8+ih92K66Ps7bELrGLrMIQQQghRxkjCeZPmz/2adm6n6N24PAAtqkKDiBQ+nvAqk6d9Y9vgbsC+fftYvGAVvu51CuZt5por8Pqrb9GhQ3vs7e2vUYMoLX0efYrRzywhyDuT4AqOZGSZ+XRFGnc9MBiT6fb5q9yiRQu+wIt14edoE1wereGPo+dI9QiiTp06tg7vP0tnZ5N1WhYNutUppepprffaOg4hhBDiesn4qZv0z6ol3FO38LjA+oFunDpyez0HrFr1BybtgdYWklJjSU1PwGgwgdmRvXv3orXm0KFDbN++naysLFuHe8OOHz/O1q1bSU0tokuthKWkpLBlyxZOnDhBVlYW27dv59ChQ+ibnOwWFBTEqx98y5QNwfSbnsWguXYEdxjBE08PtXLkV6a1Zv/+/Wzfvp3s7OybqsNgMPDxzG/ZWi6Up34/y9N/RHGsUnsmT5912Qq1tyqLxcL+/fvZsWMHOTk5tg7HOjRoiyrWIUrFdKXUZqXUc0qpsrFEshBCiDLt9ukWucU4u7iSnBGDs72xoMxs0Vhusxzezc2VxJQYwk/uxZFyWMjFbMygQoAPqampdO/ag+TYbJS2I9eUxPi3x3JX11t/g/vExESGDxpG0skEXJUz0eZzPDbkCfoP6F8q7c+e+Q3zvphNoJ03R+NPkpwcxZ21apOhIcnVkfenT6NixYo3XG9ISAifz/qlBCK+thMnTvDaayMIquyMi4s97713lqFDx9C2bbsbrqtcuXK88d5HJRBlyQsPD+f1kQMJdkvEyU4z6awDz4+ZTOs2bW0dWrFoZJXa24HWuo1SqgbwJLBVKbUZ+Fpr/buNQxNCCCGKJAnnTbrv4YF89dUYxnbyxmDIe0j7ZVcCrcMesHFkN6ZFi+bExLxGkFNrTIa84bPpOQlERe3hvYkfQaw/Qc7eAOSas3n9lQnUb1CPgIAAW4Z9TeNeGotPpBstvBsAYLaY+WHqt9RrWI/GjRuXaNtbt25l0bT59KsYRlJWKieP72Z8cCPs7ewIqlyJYwlxjH5uCHN/XXhb9ei9+toIxo5rT9VqFQBITk7n+aETqVMnBG9vbxtHWDosFguvjniCt7olU8U3bwGnpLRchk4cTsh3f1KuXDkbR1gcqsQTTqXULKA7EKO1rlfE67WBr4EmwDit9eRrXauU6g28AdQBmmmtt5boTdwCtNZHlFKvAluBT4HGKu8fk7Fa6wW2jU4IIYQo7PbqjruFdOnalcD2/Ri0KImP/0ni+aUJHHJpzpARo20d2g3ZsH4T1Ss0AczkmrPINWfi5OCCf/lgok7H4eF8IZEwGe1xyg3g1wWLbBfwdUhNTeXYniNU87ywlYvRYKShcwg/zvmhxNv/cfZ8WniEYDQY2RN1kC4+/pRzcCYzPQOLxUK1cuVxTkrl+PHjJR6Ltezfv5/gqq4FySaAu7szD/Sox8qVy20YWenatWsXdconFSSbAB4uJu6rl8nvq1bYMLLiU/b22AdVLtZxHb4Bul7l9XjgeWByEa9d6dq9wIPA2usJ4HanlGqglJoCHADuBO7VWtfJ/3qKTYMTQgghilBmeziXLVnKrE+nkZWShrOnO8+MeoE7O91ptfqVUjzz/EgefvxpwsPD8ff3p0KFCte+0EqSk5P5ZMoEdu38F4C69ZrxwojXbriHJT0tDRdnd6r4VyYzMwODMuDg6MDxuETM5svnbJqUHampaVa5h5sVERHBxNfe4ei+Q2BQhHXvwvBRLxZsnZGdnY1JXf7WdjA6EHsTczmzsrL49IPJrFu+EqU1wXVDePnN8Vfs5U1LSaWiKW9qVbY5Cye7vGHXClUwf9PJaCQjI+OGY7mS+Ph4Jr81gd2bNgNwR9vWvPTqWNzd3a1Sf3p6Oq4udpeVu7raE33Wevdxq8vIyMDN4fI5uK4Omvi00p8nbE06O5vMU6dKtg2t1yqlqlzl9RggRil1z/Veq7U+AJToaAGllD/QGmiltR5RYg1dn8+AL8nrzSz4y6e1PpPf6ymEEELcUspkD2dycjJz3/6ER90bMKxKR/o41eF/YyawccMGq7fl4eFB48aNSzXZ1Frz0otP0bhmOHM+bcacT5vRuuEZRgx/AovFckN1db4rjAxDNABOTs44ODqSk5uNnWsOTu4GcnIvJJ1aa9LUWbp2s90czvT0dJ55dCCBJxx4LOAu+vmFEfHbPsaOeKXgHC8vLxzLOxGfkVjo2oNpR7n7gW433OarI16CtVt4o1Yob9ZpRsvYdIb1e5z09PQiz+/yQDd2Jx4DoKZPDdbGx5BtzsVgZ8RoNJKSncXJ3Gxq1ap1w7EUxWKxMGzAQIIORjOuemvGVW9N+V2neP7Jp296gaJLNWzYkG3bIklLyyzU7rKlB2jbtoNV2rgdNGrUiA3HTaRnmQvKLBbNsr12tOsYZsPIrENrVawD8FZKbb3oGGTre7pRSimDUqph/qI8c5VS4cBmoBdwwrbRAdANmHc+2cyP1xlAaz3XppEJIYQQRSiTCee56Fh6VWyCi13esDc3B2ceqNCQmZ9Os3Fk1rFr1y4qeCXRqW0llFIopWjboiJVgzLZvHnzDdUVEhLC/X26cCplM9GJJ4hKPMKZzC28M2k8705+m1NZmziTeJioxOOcSN3E3Q+2p379+iV0Z9e2bMlSKmeXp5KHPwAGZaCZb12ObttPVFRUwXlvfziBvzM2sT12D0fiw1kd8y9ejfy4q+tdN9TemTNnOLt7H52DqmHI70GpVd6XRgZHVi4veijpPd3vwbGeN7+d3UhadgZx2sSko1uJNMKfJ8N5//BuRr3zltW2Mtm0aRM+Sdk09g0qeD8086uMY0wyu3fvtkobDg4ODB70Es8P/Z6lS7ax+s89jHrpJ+rVbU/NmjWt0sbtwNnZmYHD32LInCyWbknij52JvPBtOo3DBhAcHHztCm5hWlsl4TyntQ696Jhh6/u6CfHAAqAWsBRop7UO0lo/pLX+1LahAfAH4HTR9875ZUIIIcQtqUwOqbWYzbg5OBcq83ZyJ/rM7bVlyZVERkZSrbLDZeXVq9gTGRl5w/WNHTeaHg/ex6oVv+Pi5sp993XH19cXgKWrfmbpkmUkJyUTXK0Km9asY9DDj9G8fRv69nsENze3Yt/PjTh59ATedh6XlZc3unP27NmCnuY6derw88oF/LZ0GVGRUTzU/gmaNm16w8Puzpw5Q8VL3ksAQY4unA4veg6myWRi6pf/Y8uWLWxcu57BgXcSXK0q2zZspLy7G1/de69VF9mJOPnNhb8AACAASURBVH2aCury90OA0ZHIyEgaNmxolXY6depMvXoNWLFiGXGxGf9n777jmy7eAI5/Lmm6d2mhpRRaKKVlQykoG2TIkCEo+lMcCIKAKCAy3AoOFDcCojJkyVCQKSKgLBmCbGSU0ZZRKN07ud8fKaVltKVJmo57v1552VzyvXvSVpond/ccL4580myztGVJ567dqd+wCb+t+5Ur6am89EG3cpF0a+zssAso0j7M8u5z4D6MS2jdADchxA7giDTXkgHT2Espc9dvSymTb8xwKoqiKEppVC4TTp2tjkvJ16nifHM/Y2TCZYLDyseb49DQUNatTObRWwri7v03leeGhxW7z9DQ0Nvavb29eebZp9m86Q++nPgOXTyCaerow6Elm3l25Wp+WLYIZ2fnYo1ZHI0iGrPw190Ec/ONsUEauJgdR1BQUL7nurq6MuDxx0war2bNmpxKTcIgZe4MJ8DR1EQebNrkrtdpNBqaN29O8+bNc9siIiJMiuVuwurWZb0+hXa3tP+XlcSTd/iZmqJy5co89dSzZu2zLPL19eWpZ8vcatECGTIySDtn2T2cZYGU8k2AnKqv9TAmn2OBekKIq1LKgooelYQUIUQTKeU/AEKIpkDF2UitKIqilDnlckmtj28VlsUe4Mz1S+gNek5ci2JN/DFeGPuStUMzi6CgIDx9GjH9hyPEXU8jITGDb388ho1DyB2TRlMZDAY+f+9DngloTrCnL+72TrT2q01ougPLlyw1+3gFade+PRl+Nvx96TAZ2ZnEpyeyNmYH3R55CDe322c+TeXh4UHbvg/x/cmDXE1NIS07iw3nTnHF05k2bduafbziCAsLwzWsJqvOHSE5M52EjDSWnz1E9YhGZX6Zp1KSTFtOW5QjVYQQi4CdQIgQIkoIMUgIMVQIMTTn8SpCiChgNPBaznNc73ZtTnufnGvuA9YIITaY6RviDvgDVYEqQAZQGjLyl4ClQoi/hBB/AUuAEVaOSVEURVHuSpSOFULmFR4eLhcuXMh3X83gzImT1Klfl0EjhlKjRg1rh2Y2BoOBFcuX8tv6pRikgQc69aVf/wFm2xeYV1xcHMMfGsDggBb52q+mJvGXexJfzplt9jELkpqayvw58/j91w04OTsx4Nn/0aVrV4tVqZRSsmHdOlbM+5GU5GTa9+jG/556CgcHh8IvLiHZ2dksXbSYdct/RggNPQf0p2//fmg0mtuet23bNqLPnyesfn0aNWpUZs4CrWjS0tL4Y9MmEuKv07RZBNHR0Vy4EEXjxo2oX7/+jf26+6SU4eYYL8zNQ867r71JfTTb8LPZ4rEWIcQPQH0gHmOCux3YKaVMsGpgeQghdBj3mArguJQyq6TGDg8Pl3v3lvujThVFUZR7VNB7knKbcKo/iOaTmZlJ37adealG63zLSo/EXiCxRXUmvfuW9YJTiuzq1auMevpJ6pBOdTst/yZnkl2tJlOnz8TW1tba4Sl5nDhxgtdHPEtbHz02+kwmb7yAnX0Anh5VQZdCgybBfDPzK3Q6ndkSvFA3DzmvhWlHR0X8tqI8JJxHMc5u7sy57QD2SikzrRpYHkKI+4Ea5NkWI6WcVxJjq7+viqIoyp0UlHAWOh0mhLAHegCtAT+Me0UOA2uklEfMGahSOtna2tKuexd++20PnavWRSMECRmp/J4UyafPvG7t8JQimvbe2zzirqGZn3H/6wPA4uNn+WnhQp54+mmrxqbcJKXk3VdG8k5zR6q6OzB8yRGqO4eQkumIi50Pjk5O/LvnBMuXrzDruBpbW+yrB5i1z7JIShkmhPDkZuGgKUADIcRxYIeUcqw14xNCzAdqAgeAG+fzSKBEEk5FURRFuVcFJpxCiLeAnsAW4G/gCmAP1AY+yElGx0gpzXP2glJqvTT+Fb7QTuPTVWtwEDZoXB2Z+NkHtxXqKa7r169z/fp1AgICzLosOC4ujvj4eLP3WxYd37eX4S3yV1PtHujL+ytXqISzFImOjsbDkEhVdx/0BsmRi+n4Orqh0+hJjI/H0ckJD8dqLF1i3oTTkJFJ2tkLZu2zDGsKtMeYyE0GNgONMSag1hYOhJWSirmKoiiKUqjC3oHvkVK+dZfHpgkhfAD1kXgFYGNjw+gJ4xg1bgzp6ek4OjqaZe9famoqb7wykf/2HcbVxpE4mcKICaPp1qO7yf1OGDORI3uO4qh1IkWTzJhJo+nW40GTYy6rJAKJcdPXDdkGWeET8dJGq9Wiz0kljD8riZQSKcn9f05KAzY2OjOPLDAUofBPeSeEGAk8DnwPTABcgYZSyo+BPdaMLcdhjEWMLlo7EEVRFEUpigKr1Eop1xTy+BUppdrMUYFotVqcnJzMVmjmvdffRnconqeqtqdP5eY8UakVM96extGjR03q980JbxK/J5n2Hp1p7tqSVg7t+eT1aRw7dswscZdF4W3bseXc5dz7UkqWnYqm+6OmHR2jmJevry+ZLlU4cTkJjUYQUcOZ6+nXuJ5uwM3DAykl11PP8sTAR80+tqWr1JYRg4EHpJTfAvFSyueBR6wcU16VgKNCiA1CiFU3btYOSlEURVHupkhTG0KIcGASUD3nGgFIKWUDC8amlHOpqakc2LabZ6t2zG2zs7GlpUsIi+cs4J2PJhe733079tPBvUtum63Wltq6UBbOWci7H75rcuxl0ajxE3ll2BD2HDhDDQcbDiVlEnRfa3r1fdjaoSm3ePuTr3l12DPUiowl0NeVdf+dw87Rj8QMGwzZKXTr04Hu3U1bBXArYWuLQ/VqZu2zrJJSpuR8KXLO4yxNVbXesnYAiqIoinIvirqWbgHwCnAIMFguHKUiSU9Px0Frd9tsqZudE1FXrxW739TUVOyE7W39Otk6c+1qXLH7LeucnZ2ZPm8Bx48fJyYmhv4hIfj7+1s7LOUOqlatyrxf1rN//34SEhLYN6Mhly5d4tKlS4SGhuLn52f2MQ2ZmaSejTJ7v2VQkhDCT0oZAzgBq4CfrRxTLinlViFEdSBYSvm7EMIR0Fo7LkVRFEW5m6ImnLFSSrVkRzErDw8PpLOOhIwU3OycctsPJZylw7PFX8Hm5eWF1kVLSmYKTrY3+z2XEsmArv1MirmsE0IQGhpKaGiotUNRCqHRaGjatGnufS8vL+rWrWvRMdUeTgCeAG4cgfI+cFJKuc2K8eQjhBgMDAE8MVarrQrMADoWdJ2iKIqiWEtRE843hRCzgU1Axo1GKaV5yyQqFYoQgklT3uT14eNoalsDL3tnjqfEkF7Nnp69epnU75sfvMG4YeOpkVwTF1tXojPO4xhsR89ePc34ChSlfJGohFNKGZnn6x+sGctdDAciMFaOR0p5MqeAn6IoiqKUSkVNOJ8B6gA6bi6plUCZSDhTU1P59ZcVHN2/g6o1atO7/+P4+Jj37/OZM2f44ssPuXTpHAIbunfvx+OPD0SjKbAuk1lkZ2fz3Ywv2LJ2GdKQRWCdJowc96ZFlt3dyZ7du5n1yRSSrl3G1smF/z3/Il269SjStU3Dw5n984+sWLKMS1Ex9Gz/NJ27dEGnK1oFzqSkJD774GP+3vIXAC3at2bUq2Np1qwZC1bNZ+miZVyMvsigjk/TqXOnIvdbkAsXLrBowRIuRl3Cxc2RQ7v/ISM5Hc8qlXhp4hjCmzUzeQyl9MrIyOCzjz/nt9UbkXoDTe9vyvjXX8XLy8vaoZmmfBX+KTYhRCI5dQryNkspXYQQ26SUrawU2g0ZUsrMG1sGhBA25I/1NjlHmP0J2GH8u79MSvmmECIQWIxxtvQf4EkpZebde1IURVGUeyeKcpSXEOKQlLJ+CcRjFuHh4XLvXmPx3MTERIY/9TDtq1wmooYtp2MzWXzYjre/WEDt2rUL6aloYmNjGfniQMa92pY6dfxIS8tk9rd/4ezcmOEvvGSWMQry7mtjqBy7kccjXNFpBf+cTeaLvc5899MGHB0dLTr2kSNH+PDFp3jtPi98XR2IT8ti6q7LdBvxFl27Fy3pLC4pJU/3f4w613WE+wQCsPfKGY57ZDNn6SKzVdLNa+fOnYwb/hqV9bXQp8Hpiwdxcs7gheZ9SMpIZXXs33w87yvCwsLMPrZSOgwb9AKJB1Kp7R6KRmg4n3iWy+5RLF+zzCwfaNwLIcQ+KWW4OfoKrVRFzus50KQ+IuZMNVs8yp0JIT4C4oGBwEjgBeColHJSAdcIwElKmSyE0AHbgFHAaGCFlHKxEGIG8K+U8puCxs/791VRFEVRbijoPUlRp992CSHK5DvoBXNm0TvwMk+0cKd2FUcerO/OGx3hi/fv+rf5nq1YsYRHHq1LnTrGGUUHB1uGj2jPX3+uIz093Wzj3MnVq1eJPLCZp+93x9ZGgxCCpoEudKqWyLo1v1p0bIC50z9lVGM3fF0dAHB30DGuRWUWzPjc4mPv378fu8vJRFQOQiMEGiGIqFwT20vJHDhwwOzjSSl5a8K71LNrRTW3ILITDTR0jkCb6cU/F0/g4eBKe/cGzPp8utnHVkqHs2fPcvbfc4R61kOr0SKEoLpbILbXHNiyZYu1wzOJISOLlMhok27lgTDqJ4T4TAjxac7XpWnqdzwQi7GI3/PAWuC1gi6QRsk5d3U5Nwl0AJbltM8FelsiYEVRFKViK2rC2Qo4IIQ4IYQ4KIQ4JIQ4aMnAzGX3Xxt5INQlX1tNHweuxZymKLO7RXHu/GlCQqrka9NoNFSt6k5cnGWrosbExFDL6/b3QnV8NFw4c9yiYwNEnT1DrUrO+drcHHRkpSUVuQ+DwcC+ffvYsGEDly5dKvJ158+fp7J0uK3dV+PIhQsXitxPUcXGxpKdLLDXGWeNpd6ARmjw0Vbj6OVzAPi5eBN5KrKgbpQyKiUlhV9++YX05AyyDdn5HnORrpwpBz/3inwOpxBisxDCCfga4+zhfuAA8HROW6kgpTRIKb+VUvaXUvbL+brQP2ZCCK0Q4gBwBdgInMZ4zuiNX+YojAWI7nTtECHEXiHE3tjYWHO9FEVRFKWCKOoezq4WjcKC3D28uJJ4neqVblaNz8o2oEdntiWXdUIasH//AQIDb+4LzczM5kJUPN7e3mYZ425q1KjB0SvG2be8r2dftIHg3k0sOjZA7XoN+TdmP4393XPbYpMzcHSvVKTrr1y5wpjBTxMoE6liBwvjsojo1o8XRo8t9OcTEhLCz7kf2t90Vp/E42ZaLp2Xs7MzWTIj93uttdGilwbSDam42BkT37PxMYQ1rmf2sRXr2rRxA99+OoGWgak0CYrhj//+o55XH/xcjedWXhdx1Gtg2QqyJaGCV6l1l1KmCCHaAPXzJHFzhRCHrBlYXkKISO6wZ1NKGVTQdVJKPdBICOGO8ZiXO5WqvmPiKqWcBcwC45Lae41ZURRFqdgKnOEUQjgDSCnP3emW9zmlVb+nXuDrv9LIzDbWOpJSMndXIh17Pmq2MXr3fpg1q8+wZcsxDAYDly7F887ba3i470CL7+lydXXlvs6P8OFv8cQlZ5GVbeDXA9fZl+BHp85dLDo2wNPDRvH14TQORMcjpeT01WTe2RHL4NETinT9u6+OZpBfNi819WNAPT8+aRXAmY3L2L59e6HXhoaG4l63BhsuHCY9O4u07EzWXziMR90a1KlTx9SXdhtHR0ciWjXhfOJ/APj4VuFq5nUisw5xX0A9IuOj+SvtGM+/OMzsYyvWExcXx+xPX2XWMzpe6OrJSz09+OjxNP6NXU5GdjpHrx3CsYYd9913n7VDNYnEWKXWlFsZpxNCeAL/AbmfHgohKgNnrRXUHYQDzXJurYEvgB+LerGUMh7YArQA3HOKDgH4AzFmjVRRFEVRKKRokBBiE8YlRSuBfVLKlJz2IKA98AjwrZRy2V07sYJbixosW/wjS3/4guruBqITJY1bd+flV99EqzXfWdlXr15lzpxZ/LN/F26u7vTv/xQdOpTMsWhSSlav+oVVi78jLTWZFu26MnDQC7i6upbI+JGRkXz/1TROHT2EX0ANBr7wMg0bNiz0uqSkJF7o3YnP2wTkaz8Rm8gam1q899lXhfaRlZXFj3PnsX75SkDQrV9vHh/4hEmJflJSEjqdDnt7+9seS0tLY8Irk/hnxyHsNQ4kZF3Dx8cdsg2ENajL0JeGExgYWOyxMzMzSUtLw9XV1SJFj0qDxMRE7OzssLOzs3YoRbJ82TLSd7/BgNY3ZvElcXHXeX/pZXZdDOPxgY8zaMizODjcvrzb0sxZNKiOl6/8vvszJvXRcv77ZbZokBDiSeANjAlnC4xJGRj/1u2UUna3UmiFKqx6rhDCG8iSUsYLIRyA34APgaeA5XmKBh2UUha4CV0VDVIURVHupKD3JAUuqZVSdhRCdMNYmKClEMIDyAZOAGuAp6SURd90ZyX9BjzBQ30f4dKlS3h5eeHk5GT2MSpVqsTYsRPN3m9RCCHo2asPPXv1scr4gYGBvPvJl/d8nZQS7R2SKq0Q6PXZd7jidjqdjmeeG8Qzzw265/Fvdfz4cT6cNB593FXS9QaCmzZjwruTcXa+OYnv4ODAZ19NIyEhgYSEBKpWrWqWDy4yMzP57NP32ffPn7g660jL0DFy5CSaN29hct+lxZEjR/jkg/Fo9HGkphsIqXc/r4x/1+KVlE1lMOjR5lsLIvD09KRGDVt6j3ufNm3aWCs0szJkZpJ8NsraYViNlHK+EGIDUB9wy/PQAiuFdEdCiLx7JTQYZzxd7vL0G3wxLg3W5lzzk5RytRDiKLBYCPEexj2r31kiZkVRFKViK3QPp5RyLcYqeGWara0tAQEBhT9RKTGurq7YVfbn5NUkgisZ3y9JKVl55joPvDymRGOJj4/ntaGDeSXEl6pBtZFS8teFk0waNZLPv7v97Hc3Nzfc3Nzu0FPxTPtkMt5eZ/j2m85oNBquXkth0uuTmPL+91SvXt1s41jLtWvXeO/1Ibw/vDJVKwcipWTtX//y9usv8+EnM60dXoHatmvPmHlT6BVhwFZnzDwTU7PZdtqWweXqzNWyX/jHVFLKK8Ama8dRiE/yfJ2NcbnvIwVdIKU8CDS+Q/sZIMKcwSmKoijKrYpaNEhRLGLS+5/wypCnaRqdRBVbyY44PdWad6BDx5JZjnzDmlUr6eThQFVX42ymEII2AVX445+TREdHU7XqHYs3mkVqaioHD21n5tedc5fRVvJy4sn/hbBixUJefrlo+2FLs9W/LqdfB3uqVjbOZgoh6N6mCmt3HObKlSv4+PgU0oP1+Pj40G/Qawz+bjLdwjLJ1MP6Y/aMGD/NKstoLUXKCl80CAAhxBm444ZUiXEbSvHXzJuBlLK9NcdXFEVRlHulEk7FqgICApi/aj3btm0j9soVxoaHU6tWrRKP40p0NEGOtre1+9rbcvXqVYsmnImJiVTysr9tz6a/vxtbt5V8DY+kpCTm/ziHXTu34uTsTK9ej9Klc1eT9pTGXo4iNPD2PZtVvXVcvXq1VCecAL369Kdl6/b8+edWnG10zHqzXbH3SCcmJjJv7ix27fwDF2dX+vZ/hk6dLF/gqzBaOx3ONfxN66TwWl9lQd79J3ZAH4xFhL6wTjj5CSFGF/S4lHJaScWiKIqiKEVRYMIphFgLvCClPFsy4SgVka2tLR06dLBqDE3ub8nGPzfS1O9mW5bewLHkdIKDgy06to+PD1euZJGcnIGz882kbPv28zRu3MOiY98qMzOTF0cNoedDtZk5eyDx8SlM/3oJFy6cZfBzxa++26hpa7b+vpnGYZ43x8rSc+xsJjVr1jRH6BZXqVIl+vZ92KQ+0tLSGD7sf/TqpOPr92oTF5/OjHkfEhN9jqeeHmKmSItHn5FFUmS0VWMoDaSUtx6ePD2nEMJb1ojnDm5UqV2Vc78n8Cdg/sOHFUVRFMUMCjwWBZgD/CaEmCSEsOz5HopiRa1btya+SgA/Ho0kJjGZE1evM+Wf/+j33PMWL2qj0WgYPGQsE1/fyv4DUVy8mMCSnw6yc3cGPXv2tujYt9r4+280i6hMr94tsLXV4ePjzhtv9mfz5jUkJ99+5mlRtW/fgci4asxefp6oS6kcPHGdcZ9F0v9/I8tMtVpzWLduNS2bQvcHArG11VLFx4nXX27IutULSE1NtXZ4GEy8lQdCiKZ5bhFCiGGUrtVAlYAmUsoxUsoxQFPAX0r5tpTybSvHpiiKoii3KaxK7U9CiDUYS8XvFULMJ8/7CrV0p/RLS0tj3Zp1nDx+igZN6tPxgY7Y2t6+dLSi02g0fDprNqtXrmTRujU4ubkw9JPXaNq0aYmM37FjJ/z8/Fm+bD7X4i4RHt6J6dP7lfgewePHD9GmXf4ZR41GQ926fpw7d466desWq1+tVstnX83h11W/8NWqNbi4BvDcS+/RuPFtdUzKteNH/6FTc498bVqthlqBjkRHR1t8Nr0wFb1oUI6peb6+UZSnv3VCuaMAIDPP/UyghnVCURRFUZTCFeVT2ywgBeNeFhfKzwfZ5d7ly5d56tFncIj3wE3jyc7l/zDr6++Yt/gHXFwKq6Jf8eh0Ovr060effv2sMn5oaCivvT7FKmPf4O9fgxPH/6VJk/z7aE+fvoKvr69Jfdva2vJwv0d4uF+BBTXLtWoBwZyKPE69UO/cNikl56JSqVy5shUjM1bEUQknSClvW98vhChNpaLnA7uFED9j/LH1AeZZNyRFURRFubvC9nB2BaZh3CvSREpp/TVfSpG9/86H+CbVws/DeBxMVapzKvoYM7+exdjxJXvsiFI2dHuwB0OeX0TdegE0aBBIVlY2C37cSmBgfTw9PQvvQClQz4f6MnTwj9SueZWwkEpkZuqZv/wU9Rq2LXYRInPR2tniHGhicaxd5onFmoQQwRj3Reb9VG6oEGIGsEVKudU6kRlJKScLIdYBrXOanpFS7rdmTIqiKIpSkMJmOCcB/aWUR0oiGMW8Duz5l/tduuZrC3SrzaYNmxk7fgwpKSkcO3YMT09PgoKCrBSlUpq4uLgw9aPpfP7FR3x4YQ2goW3bzox/dahZ+k9PT+fIkSO4uLgQHBxsUuXbssjd3Z0PP/6Bzz97l+jpe0DY0LFTb4Y9N9zaoeUUDSr5qsil0DLgZyAxT1s2kEz+pazW5AgkSil/EEJ4CyECpZSR1g5KURRFUe6ksD2crQt6XCndbHQ2GKQerbj5Y87UZ+Dg5MCSH+ex4vuvaVzJhoupBjLcq/H+lzPx8PAooEelIvD392fqR+Y/AWL16jVMeWsqtgY39GThXtmOWd9PN3mpbllTvXp1pn0629ph3JE6hxMA/a0VaYUQT0gpP7FSPPkIId7EWKk2BPgB0AE/Ai2tGZeiKIqi3E1hVWqVMuyhfj04kXAo976UkuOJ+2nZ4T42z/uCbzpVZni4N++1qczDbpd5b8JYK0arlGfnzp3j3UlTqaa7j6qODQlwDMdwyYfhz4+ydmhKDinBYOKtMEKIrkKIE0KIU0KI8Xd4PEAIsVkIsV8IcVAI0S2nXSeEmCuEOCSEOCaEmJDnmlFCiMNCiCNCiJfM8K0YWcQ2a+kDPISxtgJSyhjyL/9VFEVRlFKlNJV6V8xs2IihRJ2PZuefG3ER7iTKOLo88gCpcTH8L9QZnfbm5w0tqnswf+NhEhMTrb6XTCl/li/9GWeDPzbam6cruTtV5lzUWc6fP09AQIAVo1MAtHY6XIJM3MO5++4PCSG0wNdAJyAK2COEWCWlPJrnaa8BP0kpvxFChAFrMVZg7Q/YSSnrCyEcgaNCiEWAMzAYiMC43HW9EGKNlPKkCa9itBDiopTyjBBiOtAKeMeE/swtU0ophRASQAjhZO2AFEVRFKUgKuG0gIsXL/LpZx9w9ux/SAktWrRl+AsvYW9vX6Jx6HQ6Pvr0A65cuUJ0dDQ1atTAw8ODiS8Oxdn+9h+9g40gM7O0bFFSypOkpGSkXnA28izpaRkIAW4ebghXG9LT0802zrVr1/js8w85ftw4s9+oUQQvjhyrqjIXgT4ji8QzFt3DGQGcklKeARBCLAZ6AXkTTgnc+MTLDYjJ0+4khLABHDAml4lAM2DXjYJ2QoitGGcAPzIhzuCcZLMZUAvoAvyGcW9nafCTEGIm4C6EGAw8C3xr5ZgURVEU5a7UklozS09PZ8yYofR/tBaLlrzIwsUjCKiewutvjLNaTD4+PjRu3Dh3f2bbbr1Yeyop33NiEtLIsPfEy8vLGiEq5Vzb9q04fmEP+lSBg8YVe+HC9avXuXD5JLVq1Sq8gyLQ6/WMHj2MTl0qs2jJSBYuHkGjJraMe3UUUhZhvaeCQQqTboWoClzIcz8qpy2vt4AnhBBRGGc3byxlXYZxCelF4DzwsZQyDjgMtBFCeOXMfHYDqpnwLcirB8bZ1osYiwaVClLKjzF+P5Zj3Mf5hpTyS+tGpSiKoih3pxJOM9v4+2+061Ar9xxDjUZD34fvJz39ChcuXCjk6pLRqXMXEqo2Zsr2i2w/c5Wlhy7z+q5Exk3+uMJVDVVKxtnI8zg5OHIp+xDxWTFcyzrHFf0h3JzciI+PN8sY27dvp37DSrRsGYYQAo1GQ9euTXB313Ps2DGzjFHeSWnaDagkhNib5zYkT/d3+sfl1k8CHgPmSCn9MSaP84UQGoyzo3rADwgExgghgqSUx4APgY3AeuBfTE8OfxdC7AOeAVYIIVyBBBP7NAshhFYI8buUcqOU8hUp5Vgp5UZrx6UoiqIoBVFLas0sOvo8tevcfoB7zVrexMTEUK2auT58Lz6NRsOHX3zD3r172bN9K14+vszu0VPt3VQs5szJSOr7tkCrsSEmPhJbG3ciPJsTk32US5cumeWMz6joC9QK9rmtPbi2D9HR0YSFhZk8RnkmAcMdc8J7clVKGX6Xx6LIP/voz80lszcMAroCSCl3CiHsgUrA48B6KWUWcEUIsR1jpdYzUsrvgO8AhBBTcsYpNinlaCFEA+CClPJ6TnM7U/o0FymltnDAtAAAIABJREFUXgiRKoRwk1KWiiRYURRFUQqjEk4zCw2tz85di2jbtn5um5SSA/vPM/CJYCtGlp8QgmbNmtGsWTNrh6JUAOHNG7Nz9Y8EOTXC06kKAFIaSM2+To0aNcwyRt2weixdtpGePZvntkkp2bP7LA+MDzHLGOWZ1s4W10A/0zrZW+Cje4BgIUQgEA0MwJhI5nUe6AjMEUKEAvZAbE57ByHEjxjPoGwBfAYghPCRUl4RQgQAfYH7THsRIKU8aGofFpQOHBJCbCSnUi2AlPJF64WkKIqiKHenEk4za92qNYsWzWHhgq306t2c5OQ0Zn+7icaN25hlFkdRyqKuD3bl+5lzOX/+GH4utcjITuVc2kGeGDoAR0dHs4zRoEED5s5zZva3G3nk0ZZkZWUzb+4WqlYNU1Vwi0CfkUXCmYsW619KmS2EGAFsALTA91LKI0KId4C9UspVwBjgWyHEyxgnXZ/Oqcj6NcYzJw9jXJr7Q56kcLkQwgvIAobnmZUsr9bk3BRFURSlTBDlsZhGeHi43Lu34I/aLSk9PZ3FSxawdetGHBwc6N79Ybo92N3s+yOvXbvGls1/YDAYaNe+A97e3mbtvyxKSkrij02bSEtJoWWbNhZZwpyRkcGWLVu4ejWWZs0iqF27drH7SkxMZPMff5CWmkKrNm3x9/e/p+vPnz/P9u1/4ezsQocOHXFyKr0nJCQnJ/P97Dn8tvZ33Nxc6dW/J9JgQKvV0qFjB7N8IJOVlcVPSxezefN6tFotXbr0onevPmg05XO7uhBiXwFLWO9JkJOPfKdOP5P6ePKfb8wWj5KfECJASnne2nFY+++roiiKUjoV9J5EJZxl1IZ1a5k9+T3aeTghBGy5nsyTY8bRs3cfa4dmNfv27mXy6FG0dnXASSv463oK7R57gkHDXjDbGJGRkUyYMIJWbQKoUsWZP7dGUtmnLhMnvnXPHyjs/vtvpk54kQeqCJxs4PcYPe0eHcTTg4cW6foZM75k7951PPBAdRISMti06QITJ06lUaNGxXlpJernpcv5fuqXNLCrgl4aOJh1hZffnUSnzp2sHVqZYs6EM9AMCedAlXBajBDiHyllk5yvl0spH7ZGHBXh76uiKIpy7wp6T6KW1JZBiYmJzJr8HlMa18ZBZ/wRdsrWM/Hjj2jZpm2FXLqr1+t5/9WxvFk3EA8H43mnnaXk7cULaN3xAZNmIfOaMuU13nirM0E1jfsQu/doygdTVrNlyxbat29f5H6ys7P5+LUxTG1dCU9HW2NfoZKxS2bTpmNngoKCCrz+6NGjHDy4gU8/7ZE7e9e5cx0mTJjIwoWrS/WMXmxsLN9//BXPBbRGpzX+/kZkB/PpG5O5v+X9pXqWtjzT2ulwDTJxD+c/5olFuaO8n2gV/A+EoiiKopQipfddqXJXu3btooWbQ26yCWBno6WVuyPbtm2zYmTWc/ToUWraanKTTQCNEHTyduOP9evMMkZcXBxCk5qbbIKx+NLD/Zryxx/3tqXq8OHDhLoYcpNNAK1G0KO6HZs2rC30+k2b1tGrV0i+xNLHx5XAQCf++++/e4qlpP25dSt1bXxyk00Aextbatt48ffff1sxsopNn55F/OmLJt0Ui5J3+VpRFEVRSjU1w1kG2djY3PGgueycxyoirVZLluH292DZUmKj05ltDH22/rb2zMxsbGzubQwbGxv0d3jLmG2Q6IoQr42Njqys22PJzpal/nfAxsYGvbj9xesp/bGXZ8ZjUZRSrKEQIhHjTKdDztfk3JdSSnWulaIoilIqqRnOMui+++5jT1IG8ekZuW1JGZlsT0ijTZs2VozMeurUqUOM0BGdmJzblpGtZ31sAp279zDLGG5ubjg6+nBgf2Rum8FgYOGC3Tz44L3tnQ0LC+N0hj3RCWm5belZelaey6Rzt56FXt+lSw9WrDhOZubNjx7Onr3KpUt6ataseU+xlLR27dtzJPsKqVk3f38TM1I5LeNp3rx5AVcqlialMOmmWI6UUiuldJVSukgpbXK+vnFfJZuKoihKqaWmE8ogBwcHJnw8jbdeGU1jZ3uQkv3J6Tz+4sucO3eO2rVrF2mWzJwSExM5e/Ysfn5+VKpUqUTHNhgMnDp1imdHj2Xa1A+oYxOLkwb2Jqbx5MtjzHokxuuvT2HcuBEE1DiKr68zO7efo3Xr7kRERNxTPxqNhrc/m8EbLw6mvnMiTjaSnVcMDBz1Gn5+he+jCwoKonv3Zxk27FtatfInISGDQ4cSmDLlS7NXQzY3Nzc3Xn3/LT6a+DY1bTzRIzlriOfdzz/Czs7O2uFVaCppVBRFURTF3KxWpVYIocV4THi0lLJHzmHgiwFPjKUnnpRSZgoh7IB5QFPgGvColPJsQX1XlCp6GRkZ7Nmzh6tXr7LouwVkxqZhL2yJE4lMmDyJdvdQxKa4pJTM+nY6f/65jnr1/Dl9+grVqoUyccJbJZL0Hjt2jPfeGEEN73SkhMgrtvR+ZCg+Pj40bdoUV1fzf/BvMBg4ePAg165do0GDBiYdR5Odnc3evXtJS0sjPDwcFxeXe7o+MTGRvXv34uzsTNOmTdFqtcWOpaSlpaWxZ88etFotzZo1w9bWtvCLlHzMWaW2pkdV+VEH0yo691vxmqpSW85VlL+viqIoyr0prVVqRwHHgBsZwYfAp1LKxUKIGcAg4Juc/16XUtYSQgzIed6j1gi4tLGzs6NVq1Y83nsAIYn++Hv7ApCencGUce8SsqoOvr6+Fo1h3fq1XLy0jznzhuUWsJk75w++nf0NLwx70aJjZ2Zm8taEIUwd6oyftxsA0VfSGDfzK+b/tMliCYxGozHb0SM2Nja0aNGi2Ne7urrSoUMHs8RS0hwcHCrsEvDSSJ+RRdzpS9YOQ1EURVGUcsYqeziFEP5Ad2B2zn0BdACW5TxlLtA75+teOffJebyjKO1rBkvQ2bNnSbuUjL/rzcTS3saOUG0gq1astPj4q1b9xNBhnfNVS338f23YuvU3i4+9bds2WtXV4+ftkNtW1ceB+0P1bN++3eLjK0p5IhEYpGk3RVEURVGUW1mraNBnwDhuFkX0AuKllDcqoEQBVXO+rgpcAMh5PCHn+fkIIYYIIfYKIfbGxsZaMvZSJTk5GQdx+743e60dCfEJFh8/NSUZNzfHfG06nQ0lUe8yOTkZN8fbx3F3MpCSkmLx8RWlvJEm3hRFURRFUW5V4gmnEKIHcEVKuS9v8x2eKovw2M0GKWdJKcOllOGm7Kkra0JCQojTJJKenZGv/VTmBTp2fcDi4993f3vWrsm/n2f//tNUrx5s8bFbtGjBpv0G9HnOF9HrJZv261W1U0UpBlWlVlEURVEUc7PGHs6WwENCiG6APcY9nJ8B7kIIm5xZTH8gJuf5UUA1IEoIYQO4AXElH3bppNPpePXdibz/6nvU0VbHQWvPqcwLhHVoQJMmTSw+/pNPPM3IFwdz8WIC4c2C+O9EDOvWHufjqdMtPraPjw+dHhrCqM9m0q+tPQBLt6TTpfdQkwr5KEpFpLXT4V6rimmdHDJPLIqiKIqilB8lnnBKKScAEwCEEO2AsVLK/wkhlgL9MFaqfQq4sQFxVc79nTmP/yGtVVq3lGrfoT0hK0P4dcVKEhISeaTrIJo0aVIix2M4Ozszc8Zcft+0kZ3bj+Dv35TZ376Bk5OTxccGeGLgc0S0aMPG9cZfl7Hv9CY42PKzq0rRxcTEcOjQIXx8fAgICGDfvn24uLgQERFRpqrqFoWUkkOHDhETE0PdunWpVq2atUMqsuyMLOJOqaJBiqIoiqKYV2k6h/NVYLEQ4j1gP/BdTvt3wHwhxCmMM5sDrBRfqebn58fzI4ZZZWxbW1u6Pdidbg92t8r4tWvXpnbtV6wytnJ3Uko+mTyZfzeup7GLI19EXuRwTAp1fMPB1oDBJZmZc6cTFBRk7VDNIiEhgbGvjMDPT0dgkBcrV82mWrX6jH/19XxFtUotqc7hVBRFURTF/KyacEoptwBbcr4+A0Tc4TnpQP8SDUxRFJP9sWkTFzdv5J1GoUTGJ/DT7ihaO7QnNdkW/+o1SEiPY+TzL7P6t19KZDbe0j6Z9j6PPlaP9u0bAPDEk5KPp65kzdrV9OzxkJWjKxqDWjuiKIqiKIqZlaYZTkVRypG1Py2hV4AvQgh+PxWNjyYYZ1tb4lPSkQYDbvaeRMcZiIyMLPOznAaDgePH/+WNt0bmtgkheHJgGz6YsqpMJJw2djo8Td3DecQ8sSiKoiiKUn6ohFNRFIsw6PVohXEpabZBorlRcDrPZKZAYDBY/gidkiAEt83UarVa9Hq9lSK6N9kZWVxTezgVRVEURTGzMrCxSFGUsqhTn76svXARgI41/bhiOE1aZjY2tnYIjYaUzEQ0Lnpq1qxp5UhNp9FoCAysw+7dJ/K1L/1pBx07Wmdv872SgEEKk26KoiiKoii3UjOciqJYRNdu3di1dQvv791NU2d7PLz0bI3ZTEjlZpyM/4dUx6t8M/3LcrF/E2DM6ImMGTOM7Y3+o2bNSuzccQaNxocXhvaxdmhFVj7mmhVFURRFKU1UwlkOSClZu3oNy+bMJzk5mbZdO/P04EE4OztbOzSlAtNoNLwz9WNOnDjBgf37eaVKFWrUqMHu3btxc3OjTZs2ODg4WDtMs/H29uaHH5awY8cOYi5G8/RTAwgLC7N2WPdEHTilKIqiKIq5qYSzHJj+2Rf8u3QdffxCcfa0Z9evO3h+81Z+WLYYW1tba4enVHAhISGEhITk3q9Ro4b1grEwrVZL69atrR1GsWjNUTTomHliURRFURSl/FAJZxmXmJjIbz/9zOiglmhylia29gvmetRhNm38nQe7d7NyhIqilAXZGVlcVUWDFEVRFEUxM5VwlnFnz56lur1rbrIJoNfr8cnQ8N2XX+Hs6kLLli3NcvB8fHw8a1f9ypWYGMJbteT+++8vGwfaK4pSJJLysZ9WURRFUZTSQyWcZZyvry+XMlNy76enpxN97hznr0dT3QC/vv0WPwVUZ9rMmeh0umKPc+zYMSYOGUpLR3d87BxYvuEPlgRV49OZM7CxUb9GilIeGNQeTkVRFEVRzExlCmWct7c3tVs0ZeO+Y7T3C+FiVBRJWSmczLrKR4074KjTseC/k6z59Vd69+1b7HGmvDqBYf61qeLsAkCjyn4sOXWUNatX06t3b3O9HEVRrERrp8PL1D2cx80Ti6IoiqIo5YdKOMuBNz+YzDeffcHHP6/i/KmTNPP14bUOLXHMmdFs71uFn9euKXbCmZCQgP56AlUqB+Vrb13Znw2r16qEUymW7Oxsjhw5gkajoW7duiYtz05PT+fIkSO4uLgQHBxcbo5aKUnZ6VnEnlR7OBVFURRFMS+VcJYDOp2OF18Zw+ARLzCwcycmNKyf7w13cmYmTu5eJvWfadDf1p6cmYGzq0+x+1Uqrn179/Le2HFU19ijlwZiNAYmf/0FderUuee+1q39lTmzP6JRmCPxiXpiE5yZ8uEMqlQxcbauwhFqD6eiKIqiKGanKr6UIw4ODtRq0pQd0TG5bVl6Pcujouk7cGCx+3V0dCSocUP+vnjhZr8GPasunafPE/8zKWal4klJSeGdUWMY6RfKwBphPBNYjyHeQUwYNpysrKx76uvs2bMsmf8hM6bU5eXngnl7dB2GDbDnjUkjLRR9+SalabfCCCG6CiFOCCFOCSHG3+U5jwghjgohjgghFuZpDxBC/CaEOJbzeI2c9r+EEAdybjFCiF/M890oP4QQ1YQQm3O+d0eEEKNy2j2FEBuFECdz/uth7VgVRVGU8kclnOXMxPfeY6+7J+8fOsr3J0/x2qEjPDBoME2aNDGp39emTOaAlzPTThxgfuRx3ju+n27DnjO5X6Xi2bJlC03sXHC3d8ht83Z0JljYs3v37nvqa82vyxjQ0xsH+5uLNeqHVsJee42oqCizxVwRSMBg4q0gQggt8DXwIBAGPCaECLvlOcHABKCllLIu8FKeh+cBU6WUoUAEcAVAStlaStlIStkI2AmsKM7rL+eygTE537sWwPCc7/14YJOUMhjYlHNfURRFUcxKLaktZ1xcXPjyhx+4cOECV69eJSQkBEdHR5P7dXV15eu55u9XqXhSU1JwENrb2h2EhrS0tHvqKz09FSfH2/8Zc3bS3nNfppJSsmjBYubMmEtGWiaVqnjx6puvEBERYXK/Py1cwIq5s5GZ6bhUqsywV18jvFkzM0VuZGNnQyVTiwb9V+CjEcApKeUZACHEYqAXcDTPcwYDX0sprwNIKa/kPDcMsJFSbsxpT761cyGEC9ABeMa0F1H+SCkvAhdzvk4SQhwDqmL8/rfLedpcYAvwqhVCVBRFUcoxlXCWU9WqVaNatWplpl+l4mjVujU/ffoV7Q0GtDmFgrL0eg6kxjPmHpOz1m27suLHzYQ39MndtxwXn05klIGaNWuaPfaCLJi3gB+nLaWRWxt0rrYkX0/klecnMGvxdEJCQord76L5czm0eCZTw/1x1NlwKSmNKa+M4K1Z880YPWRnZFu6aFBV4EKe+1FA81ueUxtACLEd0AJvSSnX57THCyFWAIHA78B4KWXezeV9MM7WJVoo/nIhZylyY+BvoHJOMoqU8qIQQm3KVxRFUcxOLalVFKVE+fr60nPQ03xyYi87Y86xPTqSqf/t5ZkxL+Hq6npPfTVr1gxXn/t5beoRtu6M4pf1kYx+9zgvjZ1sUtXbeyWl5IeZ82jo1gKd1hYAZztXgrUNmPnVtyb1+/Pc7xnRuBqOOuPng1VcHBhU252Fs2eYJfa8zLCktpIQYm+e25A83d+pItGtOz9tgGCMs26PAbOFEO457a2BsUAzIAh4+pZrHwMW3dsrrliEEM7AcuCle0nMhRBDbvxMY2NjLRegoiiKUi6pGU6lQLt27WLVT9+RmpJIyw696NWnH7a2ttYOy2ySkpJYtuRH/tm5iUqV/ej/xFDCwsIKv7AUyMzM5OdlP7Fj42qc3Nzo/fggk5dv3uh3xbKf2LZ+HS5ubvQd+AzNzLx8c+Bzz9KqQzt+X7cejVbDZz164O/vX+A1ly9fZva337F//7/UrRfGkCHPUbVqVSZMeo/Dhw+zfdsmXFzc+XpWT7y8il+VuTgMBgP6DAM2drp87Z6O3pw+c6DY/WZnZ6MzZGJnk38Jck0vFxaePF3sfu/GDFVqr0opw+/yWBSQd3mEPxBzh+fsklJmAZFCiBMYE9AoYH+e5bi/YNyL+F3OfS+MS3b7mPoCyishhA5jsrlASnljn+tlIYRvzuymLzn7Ym8lpZwFzAIIDw8vQnkoRVEURblJJZzKXS2YN5u9az5jcDsdro5a1uyYzMsbV/LlrEUlOntkKSkpKQx/pi/dAmOY2NKB6Lj/+OTVzTzx0jTad+xk7fAKpNfrGfXcEzQgklG1XUlIi+H7t4dyZsCLDHjy6WL3m52dzchnBlIn+TKDq3mTkB7D7Fdf5PQzwxjwZPErHd9JUFAQQ4a/UKTnnj9/nv79HyM9RYeToxsnT2xhzer1LFo8j+DgYOrXr0/9+vXNGt+90Gq1uHg4kZaeioPu5t7mmKTzNO7QsNj96nQ6hJMr19My8HCwy23fHx1H3aYdYPkqk+LOSwIGy6YSe4BgIUQgEA0MAB6/5Tm/YJypnCOEqIRxKe0ZIB7wEEJ4SyljMe7V3Jvnuv7AaillukVfQRkljOvNvwOOSSmn5XloFfAU8EHOf1daITxFURSlnCv7WYNiESkpKaxePJ0PHnMhxN8BX09bnnvAjWqao/z555/WDs8sVixdRJfqMfRr4Yq3m45GgU5MfcSeWZ+9jcFQWM1N69qyeTM1siJ5KtybKq52hFR2ZvIDPvwy7xtSU1NN6rdqwiUGhAbg4+xAsJcbk5rWYtnsGSVehCevqVM/ISvdAXc3b3Q6W9zdKiEMrrz77hSrxXSrsa+NZl/Sn1xNuYLeoOdCwhku2p9h8LDnTOr3+bETmLwnipNXE8nSG9h+LpaF0Vk8MWhI4RffA52dDp9aVUy6FURKmQ2MADYAx4CfpJRHhBDvCCEeynnaBuCaEOIosBl4RUp5LWev5lhgkxDiEMbluXnXKg9ALactSEvgSaBDniNkumFMNDsJIU4CnXLuK4qiKIpZlcsZzrhr1zh69GiZWRpZGp06dYqG1SQ22vxL7FoHw969f9GuXTuLjKvX69m+fTsXzkdSJ7QeTZo0yS0GY24H92xhREP7fG2ujjZ42acRHx+Pp6enRcY1h3//3sZ9fvmXb9poNYR5Ck6fPl3s2b79O7cT4eWUr02n1VDbxY4zZ85Qt27dYsdsin/2HcDZyTtfm6OjK/+dKLgsaklq264tX873YMYXszh89jjh3Zry4fDXqVy5skn9tmnXHjePb1kw82tiDpyjfvj9fPnBC/j4mLe+S1ZGFpctWzQIKeVaYO0tbW/k+VoCo3Nut167EWhwl37bmTXQckZKuY0776EF6FiSsSiKoigVT7lMODOvJvDR4JeoHF6X9z/9pFws/yxp3t7enL92e/v5awZ86gdYZMzr16/z0pAB1HePobZ3Fqs22jHHNoyPv5qDnZ1d4R3cI2/fAM7FHqCq1809qQaD5FoyODs7m308c6pcrToXIrO5dbNcVJIBb2/vO15TtH6rEX1wG7cuAr2YlmVSv6aq5O3FlZgMbG1vfkCQnZ2Ji6uL1WK6kwYNGjB99ldm77dhw4Y0nD7L7P3eqnTP6yuKZRzatYvM+HiT+7F1d6d+ixZmiEgpK9TvjqIUTblMOJ1t7XguqBnL/vmXtWvW0KNnT2uHVOb4+fnh6NuQNfv20a2JM0IIIi+ls/KQE7MmWqYuxxdT32ZgvWja1jMmEd2awo9//cvC+d/zzHPDzD5ev8ef462Ra6ntl0UlVx0Gg+SHrUk0b/9oqS+M1P2hPjw/fyZN/dMI8HRASsm6Y3G4BTWkSpXin6XYo1cfhsz9gQY+yfi7OiOlZOPZS3iH1jf7jNq9ePHF4bw0ajxuWn+0WhsMBj1JKRcZO36i1WIqb6Q03hSlosmMj6epGT5Q26cq+FY46ndHUYqmXCacN7T2DmT98pUq4Symdz6czsdTJrFoxlbsdRKdazXe+fTjez66oqiO/LONic/ln1nsG+HMyBXLCkw4o6Ki2LB2AwBdunUptNrpDUFBQQx/YwbjPpqEbfZ1kjIFLR94nBGjSve551lZWcTFxTFm8hd8PO09sq5fJEMPdSPa8vZr75jUt6enJ5NnfseHk8aTeewU6XoDDVq24a3X37ztuYmJiWxYt464K7E0b92Khg0bWmz5c8eOHXnzrVeZNu0L0tOzsLHR0rdfd6LORfHzil/o0rUzjo6OhXdkJleuXGHj+jVkZKTRrmNXgoKC7vi81NRULl26ROXKlXFycrrjc0oLnb0On+Dif1gBGMv7KIqiKIqi5FGuE069QY9OV65fokU5OjryxnufkpWVRVZWlsXf0AuNBikhb86SrZdotXf/GS5esIRZn3yLP9WRwI/fLGTYuOd55LFHijRm8+YtiFj2O6mpqdjb26PVagu/yIpWr1zJd9Om4W9rS2x6BkFNmzB2+hxcXFzQ6XSFd1AEISEhfL/sZ1JTU9HpdHfs9+jRo0x8/gWa27njYWPHN0tX4tmkPpOnfWyxJez9+vWjb9++JCUlMXrkWHat3I+7oTLpYhdfffINs3+cQWBgoEXGzmvTxg18P+1V+jbIxF0n+Wj0DJo9OJhBz4/MfY6Ukhmff8FvS5fh7+BIVFoKHfr0Zvjo0aV2iX9WehaXLLyHU1EURVGUiqfcZmNSSjZeOc1jI8dZO5Qy725Jh7k1a9WVX/etoFezm/vy5m9LoUuvF+/4/Li4OGZOm0lbj87YaIy/yjUNwUyfOoMHujxQ5KI/QohSP/sEcPDgQZZMncrbYfWwszG+3o2nT/PV1Km88f77Zh/vbh8wSCl5Z8w4hlYNxdvROCPdjADm7T/Ils2b6dDRcjVINBoNv/22kcv/JtLQo2Vue1xqLJPGvsHC5fMtNjZAWloas6ZNYtYTtjjZOwDQqaFkxI/f0rFLT2rUqAHAz8uW8d/Pq3g7rAkaITBIyfw1G1jq68uj//ufRWM0hYWPRVEURVEUpQIqnR+1myghM53PTu8ktGdH2nfoYO1wlCJ64aXxbI1rwIRl6czZmsSLC9KIr9SF/gPu/AZ9x44d+Oh9c5NNABuNDT7Sl507d5ZU2CVm2dy59PPzz002AR7wD+DAn3+RmZlZYnFcvnwZu5T03GTzhlZefmz6dY3Fx1+zYi0BjsH52jwdvYmOvGjxo1sOHDhAi4BMnOxvzoRrNIIedbPY+sfG3Lblc+fxSGBtNDnT9Roh6F8jmJ/n/2jR+EwhzXBTFEVRFEW5Vbmc4XT182H6L4uLfRyBwWBg0aJ5rFu7nOzsDOrVC+f5oS9btUpnReDo6MgXsxZy4sQJoqKi6BwcTEDA3Svi2tvbY9DcXlfTIPTY2dmxfNlyZs+aS3JSCvUb1GX8pLEF9lcUUkpWLl/Bkh/mkpaUQu36dRk5/hWqVatmUr9FEX/tGh4ODvnahBA42tiQnp5+z4WODhw4wOcffMrFCxepVLkSL4wZwf0t7y/0OltbWzIM+tva07KycHCy/D5KBwcHsg1Z+dqklEhhsPiSaDs7O1Kybv+cLiVTYJ9nRjg9JQUn3/w/DwcbHRlp6RaNz1RqhlNRyg9zVVA9f+ECASb+jVNVWBWlYiuXCaeLi4tJZ999Ou199Nn7mTa1Bfb2NuzcdY5Ro55m9uylJVqYpKIKCQkhJCSk0Oe1bNmS920/ICUzGSdb42xbcmYycbpY/jtxkrnf/IyfSz2ctXac3H2Zxx95hl9WL6FSpUrFju2HWd/y97xlPFOtHk6edvx39jIjn3ia71b8hJeXV7H7LYr7O3Vix/z59AmqldsWm5oCLs6A3+mZAAAgAElEQVS4uNzb8SCHDx9m3KAxtHGNIMK9HvEJCbw78k0mff4mrVq3KvBaT09PPIKqc/TaJcK8jEVmsg16fvs/e/cd33TxP3D89UmTNk33HrSlhbL3XrJBQGQoIMgGBUQQEBdLvmwRFESQJYIKKIiIDAFFfyJbARkCRQotu1BKd9M2bXK/P4qFDmaTpi339JEHcPl87t6d5p27e9/tq7zXy/IFl3oP6sWUEbOpo22GomQlf1eSLlCncS2LVxeuWbMmc2OcuXwrmSCvrKN6EvWZbDltx2cTOmRfV6NBA46duUAdX//stn9u3aRKndoWja8gNHYafAtaNOiiWUKRJMkMzFVBNfzIEerULtjvLlmFVZKebiUy4SyIhIQEjh37nSWLns2uuNmkcQiXLiWyY8c2unV7tGI0kuXZ29szd/Ec3ntjHA56ZxQgxS6JDxfNZvTr7xDo2hDVnYTEzdGXjAQ9q79ay5tvjX6i8QwGAz9+/Q1vhzREfafwSwUPX54x6Fm/Zi2vj85/r6m5vNC9O8M3b2bd+XDquLtzQ69nR+xt3l+06LGrwy76aCGNHevgocva5+qqdaGFeyMWzf30oQknwPR5H/H2sOHsjTiBu40tYamJ9HptKNWqVXuij+1xNG3alG5DTrH+y404C0/SlGT8K3gxdVbeSrrmplKpmD5vJZPeeoXyrgnYawRHr9nyxvj5OfYMvzb2TYa/3Ifoy6mUd3LlQlIC+w16Fr0z3+IxPqmM9AyizsmiQZIkSZIkmZdMOHO5evUq5UJd87yAr1zZgz8P/2vWsa5fv86m79dwK+oytRq0pMNznYr8+Y+Wdvv2bTau+46Is+eoWrcWXbu9iKOj432vr127Njv+2M7JkycBqF69OrGxsaiEXXay+R9HrSenTp7J0WYwGPhp60/s/X0//gF+9Orb877HqsTFxeFmY4fJmMmN6NsYDBk4OzsR4uTOgdNhBfzIH87Ozo6la9aw6+efObJnD94BAXzWs+cTnbt5OfISNRxzFvdxtnMiPiYek8nEb7/9xubNm/Hw8KBv376UK5dzz6Snpyervv+O8PBw4uLimFSlygO/Tub2ytDBODk7sGvbLoJDazF81OsWO64nt9DQUNZs+p1Tp05hMBh4s3r1PD+33t7efPnjD2zdtIlj/5witEprVr34YqHF+CQEkHeBuiRJkiRJUsHIhDOXgIAAzoXHI4TIkXSeOhVDSJmmZhvn6NEjzJs6jP5NBS0r2LJn335e3/g1C5evwz7XPr2nRUREBGP6D6G+xodKDu6cPbmNAWvW8fn6NQ+sOKtWq6l9z3IfNzc3TCoDJpMRlerunr7ktBja1ry7RzE9PZ3+PQeSdhF8bQP5e384WzcMYO6SD6hfv36ecdzd3bmSGMu/KeHYoEZRFJKTUjiVGkPokG7m+SQ8hK2tLR07daJjAc+WDS4TzM2IW/g43l1ulZCehKunG0OGDOHgwUMoigqj0cgPP/zAzJkz6dy5c44+FEWhfPnyBYrjSej1egb2HID2hprS9gHEXr5B/9/6Mnf5x9SsWbNQYlCpVFSvXv2B1zg5OdG7f/9CicdchNzDKUmSJEmSmcmEMxcXFxfq1W/DosV/MbB/DRwcbNm3P5I9+xP44ouOZhlDCMHCORP4qL893m5ZMyMVAnXY/XqJLT9+T8+X+5llnOLm42mz6OpSgdIuWUlQgLMHTjciWLlkOW9PHPfI/Wg0Gl4d1p9l87/Bz7EqGrWWuOQoTA636Nv/bsXbTRs3YbiooopbLQA88Mbb4MvU8dPZ9uuWPLPcarWamLRUNiaF08m3PA4qWy6mxLMlKpz3XV3M8BkoPCPfGcXofiNpqtTHy8GD2NR49sb/Sddu3Vi46DN091SgNZlMTJ8+g/bt2xeJGfgN677D8YaW2l5ZCZ+Pozd+ab7MmDCd77dvtHJ0xZfGToNv+QLu4bxsnlgk6WlmrmI/kWFhZtnDKUmSVFAy4czHqFHvsmHDOsZNWk96Whq1ajVi4cKZZpl5zMzM5Pfffyc94RIezjkLG7Wp6cC83duf2oTz8rkLvBjcLEdbLe9glu3eA4+RcAIMfmUQXl5eLFvyBbEJidRqWpN33puRo7DPbzt3U8o+JMd9OltH0hMyiYuLyzOreuvWLTQ6Z24oKhZeOQEmIzb2TjgHVGbf3oMMGjToMT9i66lcuTLzvlzApx8u4ODFY3j7+TD1g5ls27YNk0lgNBpJSUlBpbLBwcEBgyGd8+fPU7lyZWuHzu87/48KzmVytLlonUm+lYRer5eFvZ5QRnoG1+UeTkmyOnMW+5EkSSoKZMKZD5VKRc+evenZs7dZ+71w4QLDBo6ABB2J+tucO5uEt69XdhJ0M86Am8eTV9ct7lS2agzGTGxt7n5bJqTrcXFzfaL+OnV+nk6dn7/v857eHtw4k4yz9m7/QggyhCHfpCVrj6IJVzd/FHe/7PbEpNv4+Ho/UYzWVK1aNT5fsyJH29GjR0mIj+dG0jV0KhtMCG4i8C3lh6vrk30dzM3D25OkqGSc7O6ZhRUmMpTMIjEDW2wJuaRWkiRJkiTzy3ugnGQRQghGDh2DX2p1yjvXw9GmKrv+VhN9I4b09DT0aUaW7zLwYq9XrR2q1XTu1YOd104h7rzqNZpMbI36hz5DBltkvP6v9CUy8zQZRkN224WEMJq0boRWq81zvU6n45mmjUhMulve3WjMRJDEwIHFa6/e/dSuXZvUxAS87bS42tnhbqfFCYWU+Hj8/Pwe3kEh6D9kAH+n/IPBmHUWpxCCk7dP07JDS9Rq+R7akxJkJZwFeUiSJEmSJOUmX50VkgsXLmCIU3DSuQFQzqM1mw9k8sOf4YSGXCdV7ceAYdOpWrWqlSO1nkFDX2V+bBwLtu7Ay9aR6IwUXhrSn9Zt2+R7fVJSEhqNJt/k8FFUqlSJcbPeYu6MeWhS7Ukz6anXvBaTp0267z2zZ8/inXfe48CBv1ApamxtVcyaPQ1vb29MJhMqVfF+D+fwvn28XrMeOy6cQ5+RCYqgho8vnj7eREREULZs2UKJw2AwkJaWhpOTU569tDVq1OD190ewaO5CHIUDyZkp1GvRgHcnWv4M0JJOVqmVJEmSJMncZMJZSEwmEwp3XzjbqNRU9u7Ipdh/8asWwLSZU5762RmVSsVbE95j+Jg3iImJwdfXN98lkufOnWPc2EnERsVjFJnUaVyLGbOnPtGxHO2fa0/bdm25du0arq6uDz22wt7enkWLPiUhIYH4+Hh+3rKNpTM/ZK3KhlS1ikGjR9Kpa5fHjqOoyMw0Us7di5cq1yA6JRl7tQYXrZal509jNBotPr7BYGD21Jkc+m0PWpUGlZMd42ZMpm69ejmu6/xCF57r1JHr168/0tdNejiNVoNvuQIWDbpqnlgkSZIkSSo5nu4MpxCFhoaiOBrQpyWhs3UCQAgTierr9B3w7lOfbN5Lp9MRFBSU73MJCQkM7fc6odQj2NENIQRX911g1PA3Wbn68ycaz8bG5r7j3Y+Liwtbf9jE6e+2Mq5sPdQqFWmZGSz7cD5evj40bNjwiWKxtnadO/Hhth3U8vXH1zHr+zRGn8JNm6zvYUubPvF/pB+6xNCAViiKQnxaMlNGvsfSjV/nOR9VrVY/9tdNur+MNFk0SJIK4kKYec5jLonVZc31ubF1daVaMf3/qyQ9zWSWU0hUKhXzPpvDyFfHoI33RDGqSba7yctDuhWJyp/FxdYt23BJK4Wza9bSZEVRCHQJ5fjp3Vy5coXAwMBCi+WHr9cypnQ11HeW0WrVGnqUqsjqxcuKbcJZuXJlGvfsxux1G6ircyZZmDhm0DNj8SKLLxdOSkri2J4/eTWwZfYyWletIw3tg9nwzXrefPcti47/tBN3HpIkPRlTSoqsLnsf5vrcHL116+EXSZJU5MiEsxBVq1aNHb9v5Y8//iApKYkmTZpQqlQpa4dVrFy7ch17xSFPu1ZxICYmplATTmO6Aa1ak6PNR+dE9I1Lj3S/EIKtmzex7fuVpKXqeaZ1Z/oOHGr1Yz2GvfEGHV94gYMHDuDo5MS7LVqY5Uigh0lISMBFo8uzZ9Nd68zFSznXat68eZPlCxdz7NBhvP38GDRyKA0aNLB4jCWdSWackiRJkiSZWfGucFIM6XQ6OnTowEsvvSSTzSfQuGlD4si57M8kjCRzm/LlyxdqLF6BpbienJCj7Vj0Veo0afRI93/60QxObnqf6a1vsLhbCk4Ryxk99OVC2Sv5MAEBAfR46SU6dOhQKMkmgJ+fH/FKGumZhhzt/yZdp2GLZ7L/HRMTw6s9+qHef40Bbg2oG+vCnJET2fHT9kKJsySTVWolSZIkSTI3OcMpFStNmjTBv9pXhJ04QoB9KOnGNC4bzvDKmIE4OOSd+bSkNydPZOKQ1+ngEkCQsxthcTfZlxHP0uGvPfTe2NhYjv3xA58PuFuFtUdDF679HMGePX/QsmUrS4df5NjY2DBy3FiWTfmIZi4VcdM6ciruMjFego73nKe6ZtVX1FX8qOpVGgAfBzd6BjZkydwFtH+uQ54ZUunRaOw0+FcoYNGgKPPEIkmSJElSySETTumRxcfHs2PbFmJuXKNSzXokxMUTcS6CarWr07pNazQazcM7KSCVSsXylUvY/OMWdmz5GTcnB0YNnkHdunUtPnZuVapUYeH6NXyz6ktOhl+gasemrOjXF3d394fee/78eaqXEnmSo7pBJsL+OfpUJpwAHTo+R+mQYL754ivORcfQ9KWOvNijO3Z2dtnXnDpynFZuOQsI2avtUKeb0Ov1hf7GQ0lhSM/g6r+yaJAkSSXfP4cOYYiPL3A/JbHAkyRZgkw4pUcSFhbGlDcG0zFQ4KMYeeujTwnRVqBqYBU2bD3Kys8+54tvv8TJycnisWg0Grr36Eb3Ht0sPtbDBAYG8t7k9x/7voCAAM7fyjsTFx6tEFC9nDlCK7YqV67MjI8/vO/zpcuV4eqB61TyvFuhNsOUSbrKVGjLf0skASa5LlaSpKeAIT5eFniSpEIk93BKj2TO+28ztZEDL1bzYu+5JJ73qE9Dx2A8FWeaetfG/7YTXyxdYe0wiw1/f39cguuz7mAiRqNACMHh88n8ftmDtu3aWzu8Iq3fq4PYoz/PLX3Wu9PpmQa2Xfub7gN7W7ySbkknCviQJEmSJEnK7amf4TQYDJw6dQqtVkulSpWK5P6vlJQUwsLCcHd3p0yZMoU+fkJCAjbJMQS4eQMQdi2VXl5eZJgEtxPjcXV1papHObbu/I0x77xZ6PEZjUZOnz4NQNWqVYtN0jF19kKWfDqH/l9tAZORMpUaMW/ZNLRarbVDK9KCg4P54PNP+XjqB9y6/Dcaey0vDe/Dy/36WDu0Yk2jVVOqfAH3cMoVuZIkSZIk5fJUJ5x79/7Bwk/+R/VKOvSpRi5HqZkx6zOCg4OtHVq2b1evZfVnKwjWuBNvTMUuwI15yxbh5uZWaDFoNBpSjXfnL2xUYBQCo0mgsrEBIC3TgM6h8I/zOHHiBGNHvIeNPmtso07P/MVzqF69eqHH8rhsbW0Z/fYkRr89ydqhFDvVqlXjy++/sXYYJYohLZMrcg+nJEmSJElm9tQmnDExMSz+dBILZ9TA2SmrIEnExXgmjh/O6rU/FYlZspMnT/L9wlUMCWqOWpWV2J29fYVJY9/js1XLCy0OnU5HUJW67D5/ghah7rSp6sqRM+EEqMvgVcoDIQQHbp+g57gBhRYTQFpaGqOGvkUojdA5OAKgNyTxxpA3+WXP9hyFZiRJehiBkAtjJUmSJEkyM+tnVVbyy8/b6fysZ3ayCVAm2JUygSJ7eaa1bVy7nqYu5bKTTYCKHoFcDbtAYmJiocYyftpsdhnK8O5v0eht7fnLcIldmaf5Ux/Gdzd/pfaLTejyYtdCjWn//v3Yp3qgs3XMbtPZOqFN9WD//v2FGosklQQmUbDHwyiK0l5RlH8VRTmvKMq4B1zXXVEUoShK3VztQYqiJCuK8naudhtFUY4pirLtST92SZIkSZIs46md4UxNTcFblzffdtDZkJqaarZxEhMTWfDxNE4e+QMQVKreiDHvTH2kozP0ySn4qW3ztNupNKSlpeHs7Gy2OB/G2dmZBStWc+XKFWJiYninQgWSk5O5du0awcHBhbrE9z96vR7FaJOnXWVUm/VrKD25EydOMG/qLG5fv4mNnS3dBvSm36ABRXKvtGTZwj+KotgAnwFtgavAYUVRtgghzuS6zgkYBfyZTzfzgR35tI8GwoDC+6UoSZIkSdIjeWoTzmbN2zBv9npaNS2NSpX14jdFn8Hf/yTz5vgaZhlDCMHbowbyQo2rjB+XlZDtPfEXb43oyxdrtz102W7bzh3YMGUxpZw8s9tupyYiXOzwstK5T4GBgQQGBgJZS229vb2tEgdAo0aN+FAzH6OpKjZ3ZoGNJiOJmhs0bNjQanFJWS5evMikYaPp5VMbr5BKGIyZbFvxPelpaQx5/TVrhyflotFqCKjgU7BOoh/4bH3gvBAiAkBRlHVAF+BMruumA3OA3LOYXYEIICVXewDQEZgJjH3y4CVJkiRJsoSnNuEsV64cVWs9zzvTttGxtSf6NBM/7rzFsNffN9vev3/++Qdf2ys8W+/ubGazmq78ee4Whw4donHjxg+8v03btvy85Se+//tPKmp9iM9M5ZTxBnM+XyhniABPT09eG/sKSz9ehYepNAJBrOoSr7/9Kh4eHtYO76m3ZsUqWjmVxUuXNelka6Omc2AtFq/9jsHDhmBjk3d2WrIeQ1oGl88WuGiQp6Io9x5Mt1wI8d+G81LAlXueuwo0uPdmRVFqAYFCiG33LptVFMUBeI+s2dEciSjwCfAuYPlDgCVJkiRJemxPbcIJMGLk2/z7byd2//4zWq0D8z59Hh+fAr7Df4+rV68S6mfM017ON4Nr164+9H6VSsVHixZw9OhRDv6xjwBPdyqZBLNmzEGn0zFwcF+aNGlitniLo779+9C0+TNs35a1yq5jpykEBQUBcPr0ab77cgUxUVHUbdaSHr374Ojo+KDupIfYt28fW79ZTZpeT/PnO9O56wuo1fn/Grl4PoJnHXMes6FW2aDFBr1ej5OTzA+KGjMsqY0RQtS9z3P5vUuWPaSiKCqylswOzOe6qcB8IUTyvW+2KYryPBAthDiqKEqLJw1akiRJkiTLeaoTToAKFSpQoUIFi/RdqVIl5q1V0adtzva/zmsY0LXqI/WhKAp169aldu3aDBr4KmeOXcVF54/RlMgbr41nyGu9GT7i6V6eWLp06Tyfg992/cLqme8zoJwHPl72HNj1LcN/2sKybzeg0xX+8S0lwYrFizj5wzf0KuuNzlHNz18t4q2fd/DJ8i/ynXGvWb8u57Yepr5vaHabPiOdDFuVTPyLKGHZIrVXgcB7/h0AXL/n305AVWD3ne8nX2CLoiidyZoJ7a4oyhzAFTApipJG1qxpZ0VRngO0gLOiKGuEEH0t+pFIRcI/hw5hiI8vcD+RYWHUsdI2FenxXAgLM0s/8msuSYXrqU84LSkkJASPkKYs/OEP+rRxxUYF639PwORci8qVKz9WX3/++SdhJy/j43Y3OdZpXVi1ci19+vUu1AJCRZ3JZGLZnFl8WL80DrYaADpXKEXG2Wv8sOE7+g4YaN0Ai6H4+Hh+Xf8N8xqVRXUnuRxQtTSfHD/P4cOHqV+/fp57eg/sx6AtP2F704YqnkFE6xP4KfoUw6e8I5eEF0EarYaAir4Pv/BB9j3w2cNAOUVRQoBrQC+g939PCiESgOwN64qi7AbeFkIcAZre0z4FSBZCLLrTNP5Oe4s718tk8ylhiI83S9IQfuTIwy+SigRTSor8mktSMVToCaeiKIHA12S9e20ia4/PAkVR3IH1QDBwEXhJCBGnZL0yXQA8B+iBgUKIvws77ic1edrHbPrhOyau/wYhTLTuMJAPevR++I25HNh/CBuRcwliRmY6CbHJfLZwEa8OHWK1QkJCCI4dO8aZU6cILF2aZ555ptD25xmNRjZt3MjO778HoH337jRt3hx3lTE72fxPAz9Xvj2wzyoJ5+XLl9m/dx8Ojg60at262M3wnT17luqudtnJJkBycgqBaQmMGDyU3gMH8crQQTne+HB3d2fFhrWsWrKcL/cfwq+UP+OnzqVOnToFjicmJoa1a1dx/MRf+Pj406vnIGrWrFngfh+FEIIdO7ezY8cm0tPTad78WXp074mtbd6K0sVJ1h7OKIv1L4TIVBRlJPAzYAOsFEKcVhRlGnBECLHFYoNLkiRJkmQ11pjhzATeEkL8faf8/VFFUXaRtW/nNyHE7Dvns40jq0hEB6DcnUcDYAm5Ck0UZSqVim7de9Gte68C9RMYVAqTSM/+d0zsZeKun6WKvR/XfzxO/x9f4rXxowv9LEyDwcAbrwxDXLxJiI0zh016ljjNY/HqVY909EtBvf/W29icOsUrQaVBwPbln/PXnr3cTstECJFjJu1qoh6fckEWjym3JQs+5f/WbaKWnSd6Mvl8znymLZpPrVq1Cj2WJ+Xt7c311Mzsf8fGxhEdFcOl+EzcMqqy66u/+WXnr2zcsj7HkmUvLy/enTzRrLHExsYy8o2B9O5Tkb7923Dlym0WfTqB3r3H0qpVG7OOlZ9PFswlOeUc4ya0RKu1ZdMPf/LW23v5dMGy4j1zK8Bk4TW1QojtwPZcbZPvc22L+7RPuU/7bmB3QeKTJEmSJMn8HnwuhwUIIaL+m6EUQiSRdXZaKbLK439157KvgP8ypy7A1yLLIcBVURS/Qg7b6p577jk0DqmkpCaQkWkg9tpZuns2pr53RZ4JrEkf/5Ys+WABsbGxhRrXmi+/wutSIr2D6tCoVDleCKxB4wxX5s2cbfGxw8PDiT5+jD7lK+KmtcfN3p4+5SsS+88pytVpwLqwa9kvoGNS0vj2YiLd+/a3eFz3CgsLY++6zbxRthHNAsvTPrAyQ/1rMm3se5hMpkKNpSDKlCmD8CvNnkvRmEyC6Ju3iE5V+C3KQKB7JQJdKmCKdub7DT9YPJb169fw0kvlaNOmCvb2tpQv78eMWc+zYsWnCAsnTNHR0Zw8eYDxE17E19cdV1dHBg1ujZeXicOHD1t07MIgCviQJEmSJEnKrdATznspihIM1CLrgG8fIUQUZCWlwH8HPOZXSr9U4UVZNDg6OvL12i/wCMzkYvRBymk9cHPRUbp01oydxkZNeRsf9u178CYqc/tl01ae8SuXo62aZyDHDvxl8bFPnz5NVTv7PO1VtPbUa9ocUb8dI/ZF8s7BSD44r2fs3E8JDg62eFz32rVtO42c/HIsRXXTOuBj0nD27NlCjaWgPli4mBM+FXh9Txjv/XWRj87oKR/QBbVN1lJSd40vfx2w/L6YM2eOUa9+mRxtzs722Nub0Ov1Fh3733//pW694DwzmfUbhnDq9EmLjm1pAjAhCvSQJEmSJEnKzWpFgxRFcQQ2AmOEEIkPWIr2wFL69/Q3FBgKZB+LUdKUKVOG739Yx44dO/hx6hcE+gfmeN6kiPseUWEpNmo1mSYjcHe/pAAKY2Whv78/+4yZedqvZWbQNDCQF154gZFvv0t6ejo6nc4qyx3VthrS85nJzBCmQv9aFZSzszMz5y8gPj6e9i26UMPh2Ryf0yRDHPVCq1s8Dj+/QCIjovHwuLsPNiMjk8REA/b2ed+AMCd/f39+3HwrT3vEhVuUCSn43lRrstWqCSxo0aD95olFKtlkdVlJKtrM8TNq6+pKtYYNzRSRVNxZ5RWvoigaspLNtUKI/9bg3VQUxU8IEXVnyWz0nfaHldIH4M7h4ssB6tatW6Lfam/RogULps0l2aDH0TZrv5w+I41wUzTNmjUr1Fi6vPwSvy1eS5fSdwu2/HnjAo3btLD42HXr1mWhowNHoq5TxzdrlfXRG1FEOzlSu3ZtANRqtVUTuw6dO/H2Nxup6R2E5k4hpajkeBJ1NpQrV+4hdxdNrq6udOz6LHs2HifYqToqlQ1JaXHE212kd79ZFh+/V6+BvD95OKUC3PHzc8VgyGTxoj/o0KEbKpVlF22ULVuWjAxHfvrpMB061EGlUvH33+fZv/cSrw5uZdGxLc2QlsElCxYNkqT/yOqyklS0meNn9OitvG/OSk8va1SpVYAvgDAhxLx7ntoCDABm3/lz8z3tIxVFWUdWsaCE/5bePq3s7e2ZvmA2748ZR5DigSIEl0yxvD93WqFXP+3e6yX+OXacpfsPEqJxJsqoxy7Yl/nj3rX42CqVik9XrWLu1Kls+Ctr/1yV+vVY8L//WTzxeFQhISH0eWsk8+YtoorWDb0wcsXGwMcrlhTrAjMT3h+Hs/NnbFy3mcwMEwHB/iyfuQhf3wLOkD2CMmXKMPbNWcyaOZdUfRyZRoXnO75E374DLT42wOwP5vPJgjms/moRKpVCUFAoH320uNhXqRWAqUS/VSdJkiRJkjVYY+qnCdAP+EdRlON32iaQlWh+pyjKK8BloMed57aTdSTKebKORRlUuOEWTdWqV6d1p/ZsXLcRIUx06daV2nULf0mfSqVi+tzZXL58mfDwcAICAqhQocLDbzQTNzc3Zn3ySXaxGGsmcSdOnOCL5R9x69ZVXFw86TdwFE2aNOXFl3rQpn07jhw5gqOjI3Xq1Cm0Y2MsxcbGhtFjRzF67ChMJlOhJ/h16tThixXrrDK2TqdjwvgpReJ7ztyE3IcpSZIkSZKZFXrCKYTYR/77MgFa53O9AEZYNKhiRgjBG0NGojqXQR//rigonNp+ltdOD+Or9V9b5QVwUFCQVffOWvtF/5kzZ/ho1ggmjCxLSFA1oqJTmP3ZBIzG6TRr1gJnZ2datSreSy7vx5qzydYc29rfc5YgC/9IkiRJkmRuxatqiQRkHbURey6aNp5Ns9tqeFbh/y4d4NixY9n7F6XC8+UXC3hraDAhQT/lOu0AACAASURBVC4A+Hk7MGlURaZ8+gnNmrWwbnCS9AhstRpKF7Ro0AHzxCJJkiRJUskhE85iKDIyEjejc552t0wnIiMjrZpwGgwGdmzfwb7f9uJbypeX+vQkMDDw4TcWc1evRlAxtFKONi8Pe1L1Ba/EWJylp6ezY/tWjv/5O97+wXTt3gd/f39rhyXlIz0tg0hZNEiSJEmSJDMrGpVVpMdStmxZYm0S87TH2SRStmxZK0SUxWAwMLj3IL6b8S2a4yoiN51n8IuDOHTokNViKixBQaGEhcfmaIuO0aNzcLNSRNan1+sZPuhFondPoUfQAcrEf8U7Q57n2LFj1g5Nug9RwP+koklRlJWKokQrinLqnjZ3RVF2KYoSfufPp/eXlSRJkmRRMuEshipWrIhXJV+O3jpJpimTTFMmx2+dwqGMCzVq1LBaXFs2b0FEmqjvVRcfR2/KuYfS0rkZMyfOzC6wUlINfGU0H39+kfORWTOaV6OSmbbgLINeHWvlyKxn08b1NPe/yOBWzlQoZU+bGs582EPFp7PHWTs0KV8Ck1Kwh1RkfQm0z9U2DvhNCFEO+O3OvyVJkiTJ7OSS2mJq4fJFLF+8jJ0/7kAIQZsebXlt5HCrFjLZvfN3yjqG5GhzsNUhYk3ExMTgVYIP6K5YsSIT/recz5d9xI2oU7i7+zBkxEc0aPD0Hnr8154dvPuMfY42XzdbbNJvkZycXOhH+EgPZqvVEFzAPZx795spGMmshBB7FEUJztXcBWhx5+9fAbuB9wotKEmSJOmpIRPOYsrW1paRY95g5Jg3rB1KNk8fTxLPxOGhc89uE0KQLtJxcHCwYmSFo3LlysxfsNLaYRQZrh7e3Iz/Fx/Xu+dTmkyCZIOCnZ2dFSOT8pOelkHE2evWDkMqPD7/nWkthIhSFMXb2gFJkiRJJZNcUiuZTe+Bffgn7QzpmYbstjNxZ6nzTF10Op0VI5OsoVvvoSzfbSI13Qhkvfnw3cFEajduj0ajsXJ0Un7kHk4pP4qiDFUU5YiiKEdu3bpl7XAkSZKkYkYmnA+Qnp5OYmLe4jzWlpSURFpamrXDwGg0Eh8fj8lkAqB8+fK888G7/Kbfze9xe/kp5mec6rvyv5n/s3KkkjVUr16dToOnMeRrhQnfp/PKF2lE2rVjzLvy+6FoEghMBXpIxcpNRVH8AO78GX2/C4UQy4UQdYUQdUvy1ghJkiTJMuSS2nzo9XrmzplK2NnDOOg0mIQj77wzncqVK1s1rvPnzzN74ltkxt3AYBKUrlqX8dNm4+yc94gUSxJC8PUXy9i+YRVuWiPxBlv6DHuLTl278Wz7Z2ndtjXXrl3DxcUFFxeXQo1NKlo6dnqBdh06cf36dVxdXQv9e1V6DAqy8M/TZQswAJh958/N1g1HkiRJKqlkwpmPyZPfplF9A2NHt0dRFK5fT2Dy1FEsXvId7u7uD+/AApKSkpjw+gDer2tPsLsPAH9c+IcJo19j0apvCjWWDevWcPHXxazs5opGrSLVYOT9lVNx8/TmmWeaYmNjQ1BQUKHGJBVdarVafj8UA1lFg/wK1Mef+8wUjGRWiqJ8S1aBIE9FUa4C/yMr0fxOUZRXgMtAD+tFKEmSJJVkMuHM5ebNmyTGR9Du2dbZbf7+LnTpFMjWrZsYMOAVq8T1y84dPOtrJNj97l7I5mXd+Hl3BJGRkYSEhDzgbvPa8u0XLOrggkadtSLb3taGN5s78PEXn/LMM00LLQ5Jkswnq2jQNWuHIVmAEOLl+zzV+j7tkiRJkmQ2MuHM5fbt2/j55a2oWqqUE4ePRlkhoizRUVcJcbTJ0x7goOLWrVuFmnAa01PQ2eX8HPm52BIXc98tQE/k0qVLfLl0HudOnyCgdBn6DRtL1apVzTqGJEn/EZjkPkxJkqRCdyEszCz92Lq6Uq3h03scm1R0yYQzlzJlyhD2bzwGQya2tnc/PQcORlGvQWerxVW7QRO2/r6eJmXuthlNguMxmQyvWLFQY/EKKMv5m5GE+tw9Y/HAhUSq1mlntjEuXrzI+Ne6M6pRJuO6OXLuxgk+eqcPr09dTv36Dcw2jiRJWQTIhFOSJMkKTCkp1DFDQa6jsoq0VETJhDMXrVZLz55DmTh5JQP7VcHV1Z5ffo3gylUH3nmvpdXiqlevHut8qrDsr1M8V86ZFIOR1aeT6NB7WKEXYhnx7lSmjOrDK7USqOBjz9+X9az714H5K8eYbYwvl85jTGMjtUOcAKjor2PacwamfzKd+t9sM9s4kiRlsdNqKFPRv0B9HJN7OCVJkiRJykUmnPno1q0nISHl+PHHtSQnR9OkyQsMG94VG5u8S1oLi0qlYu6i5fy0bQsrd25Ba+9A3ykDqF+/fqHHUqFCBT5auZn1X6/gpzNnKV+tLosmDcTDw8NsY5w7fYIJPXIt23W1JSX2htnGeBrp9Xp2bN/KtUvhVKpen5YtW6FWy18DlmAwGNi162cunDtFSNnKPNuuPXZ2dtYO677S0zK48O9Va4chSZIkSVIJI19p3kft2rWpXbu2tcPIQa1W06Xri3Tp+qK1Q6FUqVKMHW+58xRLBYVw/uYpyvneXbaboM9EbS+P1XhSV69e5Z0RvWhXMYHavgqHN2/gu9UhLFj6DTqd7uEdSI8sLi6OUcN706hyGrXLaTl14hdeWbuYBYu/MesbM+Yl93BKkiRJkmR+MuGUiqR+w8Yyd1xfZnS0wdvZlsTUTD74JZmXXx1v7dCKrU8+nMi77VOoHpJ1NmqjSvDdnvN8u2YlrwwdaeXoSpYVyz7h5daZtG0SCECDGhAaGM3Sz+YycfJsK0eXP7mHU5IkqXgzV/GhyLCwAu8plYWQpHvJhFMqkqpXr86w95fyvwUz0MdHo7Z3ptcr4+jQ0XqFm4q7qxGnqN4x5zLl5+s7MWrdlqcy4bx69SpRUVGUK1cOV1dXs/b99+E9jJoakKOtaV0vVmw5YNZxzEsgMFo7CEmSJOkJmav4UPiRI0UmFlkIqWSQCadUZDVs1JiGjbZbO4wSwyhUGI0CGxsluy1Rb0Tn4GTFqApfamoqk8aOIunCGUo7aJgXn0azLi/x2ug3URTl4R08Als7O/SpmTg6aLLb0g1G1Gpbs/RvCXZaW8pUDHj4hQ9wWr4ukCRJkiQpF5lwStJTokmrzmzY/x29mmUtqTWZBMt26en00itWjqxwLZg9k+rx5+nYsDQAJiGYu/M7fq1chbbPmudon/bP92blphW80ac0iqIghOCrzddo+1wfs/RvCelpBs6fvWLtMCRJkiRJKmFU1g5AkqTC8fqo9ziT8QwjvtDz8RY9g5em4V9nIO3ad7B2aIVGCMFfu3+lQ6hvdptKUehf0ZfNa78y2zg9e/XF6NSCodMjmLf6Cq/NiCBJ3YS+/Ypuci8QmDAW6PEwiqK0VxTlX0VRziuKMi6f58cqinJGUZSTiqL8pihK6TvtNRVFOagoyuk7z/W85561d/o8pSjKSkVRNLn7lSRJkiTJekrkDOe/Yefo2aUXE6aNp0aNGtYOR5IKVVpaGh9+MJcd23dhMpqoXrMq02ZMxt/fn5lzl3Djxg2ioqIYVqYMLi4u1g7XYvR6PR/Omsv/7dyNMEGNulWZNHUCarKSzHs52KpJTUkx29gqlYp3x08jNnYMly5d4pXAQDw9Pc3Wv6UICxYNUhTFBvgMaAtcBQ4rirJFCHHmnsuOAXWFEHpFUYYDc4CegB7oL4QIVxTFHziqKMrPQoh4YC3Q98793wCvAkss9oFIkiRJkvRYSmTC6WzjQlBsKGMGj2XVxi8IDg62dkiSVGjeGDGGsMPR+LnUR1EUIo7fpE+vgez4ZQtarRZfX198fX0f3lExN+q1McSeyKCeSzsURcXNI1cZ+PKrlA8J5czNWCr73C0UtDMimuYdB5g9Bnd3d9zd3c3eryXYaW0pWzGwQH2ce/AezvrAeSFEBICiKOuALkB2wimE+P2e6w9xJ5EUQpy755rriqJEA15AvBAie6O3oih/AQXbiCpJkiRJklmV2CW1LlpXyqkqsWr5l4U6blpaGiaTdY4WMBqNGAwGq4wtWU96ejpGY9ZyxitXrnDqWDjermWzC+C4OvqQnqBl586fzT62yWQiLS3N7P0+CiHEfX/eIiMjiTx1lRDXSihK1q85H6cANHFO1GvVjs8iU1l35hoHL0ez6NhlTmj96dm7b55+HiQzM7OE/bxlHYxSsMcDlQLu3SR69U7b/bwC7MjdqChKfcAWuJCrXQP0A3Y+LBBJkiRJkgpPiZzh/I+HzovI8xGFMtbx48f59NPZGE3JpOozadKkNa+/PgaNxvLbiVJTU/lo+gyO7N6DGgW3AH/GzZpBaGioxcd+EIPBwI8/bOKXLTtxcHSg58DeNG7c2KxjmEwmft75Mz+u+xGAF15+gWfbPYtKpeL06dN8v3oZMTejqNOkNd179cXR0dGs41tTeHg4H0yYzO0rN8jARMNWzWjerg02QpfnWjU6IiMumm3sjIwMFsyZx69bd6IRKhy9XRk3Y/ITL2Hfu3cvm9esJS01lVadO9G5a1fU6vv/ejp04CDzp88iMyEZgyJ47qUXGfbGSFSqrOTy2rVr6IRznvvshTPJicms+vEnftm5g8sXI6keXAbVqdP07t2XqlWrMHToEEqVun8elJiYyLRJ0zh28G9UKASWC2Lqh9MIDCzY7KC1pacZOHf2UkG78VQU5d56+suFEMvv/D2/EsAiv04URekL1AWa52r3A1YDA4QQuTPcxcAeIcTeJ4pckiRJkiSLKNEJ57XkK9TpXNvy41y7xpy5E5jxQVf8/d0xmUys+Xof8+d/yLvvTrL4+JPefIugizeYUqkuiqJwNTGedwYP4attm3F2zvuiuzCYTCZeH/waSngy1V3LkXYznbmjptFpaHcGD33VbOP8b8JkwnadoapTJQTw+cRlHNxzgGatmvDt/Hd5rYEGv5q2/HFsCSN2bGLJ6k3odHkTsuImISGBsYOG0dO9Cv5lyiGE4OCh86yPukGGkogQIscRH5lKArXr1DTb+LOnzuD272cZUqoVKkVFbGoi44eOYcWmtfj7+z9WX8sWLuTYho10KRWEvVrN70s/Z8/PvzB/+bJ8jyk5d+4cc8aO45WgWrh66cg0mdi6cRdLTIIRb44GoHz58iQQk+fzkGQTQ606NdHpdHR9sRuXL1+me/ee6FNM2Ns78e/Zn/lp2w7WrV973zdsRg15A6fLWrp4tkdRFKKu3GRY3yFs+mUzdnZ2j/WxFyXCPOdwxggh6t7nuavAvVl5AHA990WKorQBJgLNhRDp97Q7Az8Bk4QQh3Ld8z+yltgOK1j4kiRJkiSZW4lcUisQRMSd56buKv0G9bP4eD/8sJ7+A+vj75+1V0ulUtFvQFOOnziAXq+36Ng3btzg5pmzNA8Izn5hHeDsShN7F7b9uNmiYz/I/v37ST8fT1PfOrhqnfF19KKLf3PWr/iGpKQks4wRGRnJ0V+P8oxXI9zs3XC3d6Opd2P+/OVPPps9iTnPO1M90BEvJ1u613GjlfcNNn2/3ixjW9uWTT9SR+2Fv6MbAIqi0Ni3HDH/RtKmXTOuxZ8gzZBCptHAjbhzBIS60bRpU7OMnZKSwp+/7qWZbzVUd5aruts700Abwndrv32svuLi4ti17jtGVqpGaRdXvB0c6RlaAdP5CI7c5+DptStW0dGjDK7arDcO1CoVnYKqsGPDpuylxd7e3jzbpSX/xB1Eb0jGYEznXOwJPMs50qBBg+y+Zs+eQ1qqCmcnDzRqW5yd3MjMsGXG9Fn5jn3u3DniL8ZS3i00++fNz8kHz1R3ft3162N97EWRwFSgx0McBsopihKiKIot0AvYcu8FiqLUApYBnYUQ0fe02wKbgK+FEBty3fMq0A54OZ9ZT0mSJEmSrKxEznDqSabs84F8OGL6Qwt2XL9+nT2796DVaWnVqtUTzQjevHmNNu3K5GhTFAUfH2fi4+MtOqMWHR2Nj0abp91XqyPq8mWLjfswRw78RWm1D7dT4zl/+yIaGw2VvELx13gQHh5O7doFn3k+efIk3ibPHDNYiqLganDBVkTiqHXIcX2TMvZ8/tcf9Ok/qMBjW9v1S1fwtnPK0+6p0dHz5R40bNyAr1atRZ+ip3/f5xg4aED2ctPHFR0dze7fd6NSqWjVuhWpqam4qHV5Zh+97F2JiHy8cxzDwsKo5OCYp2psTUcn/v7zT+rVq5fnnqjLV2jgmLPiq1qlQqeoSEtLw8Eh6+s+8X8TqFZzK998tZ701DS69HuOfgP75vg8HD92HAddzp95nc6JsLNn8403OjoaZ/Iuy3bCgWtXrj7aB11E2WltCa0QVKA+Ih9QNEgIkakoykjgZ8AGWCmEOK0oyjTgiBBiCzAXcAQ23Pn+uiyE6Ay8BDQDPBRFGXiny4FCiOPAUuAScPDOPT8IIaYV6AORJEmSJMlsSmTCGVo+lIlTJj70ui9XrGLD0jWUV/uTqZhY+sGnTPlkJg0bNXqs8apVq8uB/YcIKeOT3abXp3P9WiI+Pj4PuLPgQkNDuZCahNFkwuaeF9Ink+Jo17DBA+60LL9Af3ZEfY9Jn0g9Z19STZl8dekv7Dzd8fLyMssY3t7epKpT87Rn2GWgT1flWU55OTYd71KlzTK2tdVp3ICtvx6mosfd5atGk4krhkRCQ0OpXr06nTo9X+Bxvt+wkXkzF+Fo8EdRBPNmLWLyrHHEi1TSjRnY2dzdoxyefJ0Gz3R5rP59fHy4mZG38M6N9HSqBORfbLR24wb8s3kfz5Qqm92WmJ6KSWeX480dRVHo0rUzXbp2vu/47h4e3IxKRqO5uxQ2MzMDV/f833iqWLEiN0wxmIQpe3YX4Ia4xeD691tJWjykp6Vz7mykRce4U1F2e662yff8vc197lsDrLnPcyXy/2OSJEmSVFKUyCW1j+LSpUtsXLaWlwNaU8+vCo18q9HNsylT3ppERkbGY/XVqVMX9uy+zsYNh4iNTeLM6SuMf28DAwa8jo2NjYU+giw6nY5urw5m8b/HuZQQR2yqnq2R54j1cadFy5YWHftBKlSqSFLyDV4Lqk0jj9K08irL4FJViYmPeuw9fvfToEED0lwzuJJ4d2bpSuJVjB6CZs+9xFd/xmMyZdUkuZVkYOUxhW4vF//ZTYAWLVuS6O/IL1dOEZ+WwtWk23x58RA9Xh1gthn1mJgY5s1aRGVdS0LcqxDsVpVK2hZMn/QhA0YOYf3VfVxJjCbJoOfgjTNcd0mnywtdH2uMsmXLovj78mfUdYTI+lpdjI/jSEYabZ99Nt97Xh7Qn8OqRPZfv0BieirhsTdZcfFvRk0cl++ezwcZPXok+rRYjKaspbgmk5EUfQwjRgzP93pPT0869OjA7uh93NbHkpiexKFbR/Cq6muWWXtrs/CSWkmSJEmSnkJPbcK5a8cvVNIE5JilcLC1x09x5cSJE4/Vl06n47PPVpGeWoEZU/5g0/fXGD5sCs89V/AZpkfRb/AgBs+ZyQ6tkc8TrxPSrweffbnS4snugxzcs5cXK9UhTZ1JbEYisRmJOLvoeKZsJU6fPm2WMVQqFZ+v+ZykUD3bYnay9dYOksulsnz1csa8N5nUcj3ovz6F4T8kM+EPB0ZPX1pizmRVq9Us/XolVV/tynbNTY75CUbMm0b/V8yXUO/ZswdHgy82qrsTSGobWxwyvPDw9mLy8rlcDlX4P9tIKvRrwRfrV2Nvb5+nH4PBQEREBPHx8fmOM3fJEsJDAph06hhTTh3jRzKZt2rlfRNnFxcXVmz4FsdOTdhgjOJ8eXdmfLmUZi2a53v9g7Rt25YpUyagskkhzXAbRZXMuPFv0aXL/Wdqx7zzJiPnjOFG6VjCPS7R9e1uLPp80WMnu4/i9u3bREZGZu9NtaT/igYV5CFJkiRJkpTbU7sUSW2rwSjyVuQ3CvHA4xjux9HRkcGDhzB48BBzhPdYYmNjWbdqISSGE6iDn77/nHKVKtCgQcNCj+U/Go0GlVpNSFAIJpMJBQVFpWC6FPNEn9/78fb2ZtlXy0lPzypmeW+V0NHvTGLEm+NIT09Hp8u757C4s7Ozo++A/vQd0N8i/avValDy/owIsn5GatWqRa3FtR7Yx+aNG/nq008I0toSnZZO2br1mTTrgxxfJ2dnZ2Z98gkGgwGj0Zhv0pqbq6srr48eBaNHPf4HlkuPHj3o1q0bqamp2NvbP3Svq6IotG7dmtatWxd47PvJOnplNAnXT+LprCIyRsPwsTNo3qKVxcZEgEnW3JEkSZIkycye2oSz/XPtWb/ka6oZQ7G9sw8tLjWROFs91atXt3J0j2fS2KH0Cb5A/eZZxUxikzN4c/LrfLJ6J97e3laJqd3zHRnz9TpqG4Owtcn6NruRksBtW0HFihXNPt79jqNQq9VmTXCfJi1atOBDu/kYMtOwVWcVpkrL0JOmvU3Dhg9/M+P48eNs+uRjPqhZCTt11mz7jgthzJs5g/HTpue53tbW1rwfwGNQqVTZxYaKgmmTRtOu9EladXEBIEmfyehP3iY4ZBOlS1tmH7JWa0f5isEF6uPa/oPmCUaSJEmSpBLjqX0l7uvry8jJY/l0xseUVnmRqZi4qU7io2WfPHE1T2u4fPkymqQI6pe9WznT3VFD9yopbN/yAwNffc0qcQUFBTHg3THMn/sJle1cSRMmLtmkM2fZZ8Xq8/s0c3Z2ZtbHU5j49hTsUz0BQbo2jvmL5zzSeZMbvlxFr2D/7GQToH1wAG///n9kZExGo9E84O6nV2xsLAnX/8lONgGcdGr6NYUtP3zDG2+Ot8i4aWnp/Hs2wiJ9S5IkSdKTuBAWZpZ+bF1dqfYIb5ZLlvFUJJxnz55l1ow5RJy/iLunG6PffJ3WrVvTsdPzNG/ZgiNHjqDVaqlbt26xmw1LSEjAyyHvUlEvRxVX4h5wRkEh6PLiC7Rs05qjR4+i0+moU6dOsfv8FjUXL17ko1kfE3bqX5ycHRg8fDCdu3Sy2HjNWzRn197tHD58GBsbG+rVq/fIM5Hxt2/jYZ/zyB5FUbC3UZGeni4TzvtITEzEwymfn2kXNYcuW/JnWiCPsZQkSZKKElNKCnXMcLrB0VvWfU38tCvxU00REREM6D2UqLMK3rZ1MMb48N6Y6fy0Lasyv6OjIy1atKBhw4bFMhmqUKECp6JtSDXkLNixK1zQsFn+VT4Lk7OzMy1btqRBgwbF8vNblNy4cYPBPYeQcVxDY7u2lEupxWeTl7Hmy3xPizAbe3t7mjVrRpMmTR5r2WvjNm3Zd/1mjrabySnYuLrh6Jj3LEspS1BQEJdi7UhMyczR/stxAw2atrfYuAIwFfA/SZIkSZKk3Ep8BrBwwRJ0ojROOncA7Gwd8FNVZ/7HC+n4/HNWjq7gbG1tGThqMqMWTqR/bXDWqdgRZiTT/xnq169v7fAkM/p65WpKZZTBxzXrWBl7jY66bs+wctlXvNzvZatWJc5Pt549ef2nraT+G0FdT1euJ+vZdiuB9xcttnZoRZpKpWL42BmMnjeWfs3Ay1nNrhMGrosajG1luUJFWq0dFSqGFKiPmweOmikaSZIkSZJKihKfcIadOYuLQ7kcbRq1HdEJKQghSkTl0vbPPU/5ipXZuvEbUhLjaDakM02bNi0RH9vT5PLly/y4cQ2xt6Ko26gt7dp3yLHs9Mw/YXjrgnLcY6NSo87UkJycjIuLS+4u87h16xZr137LuXPhNG7cgBdffNFs53bmptVqWbrmG37ZuZOD+/biGxjIZy/1xMfHxyLjWZIQgkOHDvF/2zeg1tjSvsvL1KhRw2LjNWveguCQH9m66Vv+uhpNg67tGduylUXfVEhLS+Ps2QsW61+SJEmSpKdTiU84q1StxN+7o3Bz8s1uy8hMx9nFoUQlZGXKlGH0O5OsHYb0hA4e3M/iD0fRv4WCfyU7fv9jP6N+XMOCJWuyl7FWqVGZE2fDKWN79w2UTFMmmeoMnJycHjpGeHg4fXsPJC1Vja2tjv17j/Pll6vZuPG7R0pWn4StrS3Pd+7M8507W6T/wvLxB/8j9uQmXqxuQ0amiRVTfqLu8yMY8IrlinIFBQUxYvR7Fus/P0LIszQlSZIkSTKvEr+Hc+So4eiVSyTqbwOQZkghKvkkY98dbeXIJCmLEILPPprI/CHOtKrtTsXSDgzv7Ek1j/Ps2L41+7oBg/sTpY0kKukqQgj0GSkcjtvLqyMGP1Ll30kTJyOMzri6+KCzd8LV2Y9bN9JYtnS5JT+8Yu/ChQtcPLyFKc87UaO0A3XLOjH3RSd2fb+U2NhYa4dnRgKBqUAPSZIkSZKk3Ep8whkSEsLqdSsoXU3Drcy/0fre5uOFU+nQwXLFNyTpcURHR+Op0+PmlLNqa9vaOv7a/3P2v729vVm1fgUO9VUcTP+Viy6nGTtrJL37vvxI45w/H4m9vROpqakkJiZiMBhwdvJk167f8lwbFxfHL7/8woEDB8jMzMynt+LBYDCwd+9efv31V5KSkp6ojz8PHaBVmfQcKyJsVApNg00cO3bMXKFanQCEMBXoIUmSJEmSlFuJX1ILUL58eb5YtczaYUhSvhwcHIhNNuXZU3wj1oCrm3eOa4OCgvjks3lPNI7KRiHywgVUmQI1KmKEERutDQ2bVshx3brVq/l+6XJqOTiRLEzMMxn5cPlSypYt+0TjWsvJkyeZ/uYIajup0KoEy6YbGPTWBJ57zOW9rm7uXE7J+6syOsWGem5u5grX6rKKBpUpUB8HDp0xUzSSJEmSJJUUT0XCKUlFmaOjIyGVmrDt0AE6NcpKYJL1maz8NZOJcwaabRx3JyeiUsNxt/dHURQchYnrCZFUqvh89jXh4eFsWbqcSZVroFFlFai5lpTIxJFv8O32n4rNvufMzEymj32DKTU88Xa0B6B7ppF3P55JnQYNHqtwUatWrRmw0IG2XEcNOwAAIABJREFUldIJ8rQD4Mw1PeeSPZhYs6ZF4reGtLQ0zoaFWzsMSZIkSZJKmBK/pDY/QojsJYW56fV6UlJSrBDV00Gv16PX6x/5epPJRHx8/BMv6zQYDCQkJCCEeKL7HzfeJ/XepA84GteQVxfEMX5VAsOWpNNvxGxCQ0PNNoYqJY0WgcHoDddIzbhBWsZ1elasw4UTd2eldm7eTFt37+xkE6CUkzNu6QYiIiLMFoulnThxgso6spNNAK3ahna+9vz6847H6kur1TJ9wddM3+fOWz+k8caGVJacCubDRV8/0t7Z4kTu4ZQkSZIkydyeuhnOw4cPM3ncNPTxBjIx0Kpdc96fMoGEhARmjn+HWxFnsVHAqVQIEz74iFKlSlk75BLh5s2bzBz/NrcvhqMo4BZUlokffIyvr+9979my6UdWLViEzihIFkY69+nF4NeGPdIsW0ZGBvM/mM3+/2fvvuPsqKvGj38OCSEJLQSWGkKRGshDCWLARi+KgI8gKAoqgqKgqI+CPhbsWBFFHwsqzUIRFCsiCP4EAiQUKUFDDyRAKBtCSAhJzu+PmYXLsi3ZO3vv3f28X6995c7cme+cmTu5556Z78z85XJWGTacxaNH8pHPfZrJu+7ap3hnz57NF086iSfuux8yadtsMz7ztVMre6TH6NGj+eKp32Pu3LnMnTuXcePG1b2YiQiO3Pa1vHXrycx7bgFrjFyFRUsXc+GiF89qLVm8mGFdbN9hrMCSJa1zB9MlS5YwrIvdZHjA4sXLvh5bbLEFP7/gMmbPns3w4cNZe+21e5+p1SRehylJkupuSBWcM2fO5MT3ncQrVtyFUaNWJjO58fd38pnnPscj997GUesuZIfdi+ccTn/sST52zJGc+7u/vORZiFp2S5cu5aPvPYpjxy1l4uuL7Xv7I3P42DFHcc5v/9TlswWv+ec/ueDr3+Gjm+3AyOErsnjpUn71y0v49cqr8LYj39HrMr/xxS+z5Nqb+fSWO7NCBHOfW8A3/udkvnHeWWy6ac/XqS1ZsoQT3/Me3r7aGLacWDxrcfqcOXzkPUdz3u8vrfSs1uqrr17ZI0om7jyJO+6cybZt4xk1vHjUyhWz7mT/Yw5+YZp9DjyQr//hz+yw7vqsUBaejz87n0eHUdezrVXbfvvt+fq8JbQvWMSYUcW6Pr9kKX95ZAGn7rPvcrUZEay//vr1DLOpjBy5Eltt1b/PeMoNPsdTkiS91JAqOH9xzq9Zc/GmjBq9MlD8gBy/2gQu/9Mf2HtT2GH9DV+Yduu1V2eHhx/mmmuuYbfddmtQxIPD9ddfz1bDnmHiui/+WN923TFsNXsW119/Pbt2cdbxnB/8iMM33IqRw4tif/gKK3DoxhP4ztnn9FpwLly4kBuuuJJPb7HzC2dDV19pFG8cO44LzjmPk0/5bI/zX3fddWy2eClbrrnWC+O2bmtjw/88yY033sirXvWqPq97MznplE9z3Dvfw4yHnmQdRnHf0qdZdevxHPb2F+9yO2HCBHY57BC+cv6F7Dx6NeblEm5+bgFf/MEZLdV9dMSIEXz8K9/kkyd/hNePXZFRw+DKx57jwGM+yLhx4xodXlNauHAh0+/6T6PDkCRJg8yQKjgfnvkwo1dc7SXjIoIVloxgjRVefp3e+ivBo488MiCx3XnnnZx79vd54IF72GKLbTnyXR/o9Uxcq5gzZw7rjnj5NZQbrJTMmTOny3memDOHtg1e2t125PAVWbzwuV6XN2/ePFYbPuJlXW/XGb0qtz38UJ/ibeuiuFp72DAee+yxl4z717/+xVnf+z4zH7ifCdttx9EnHM/48eN7XUYjjB07ll/9/mKuu+46Zs6cyX9vsw3bbrvty7bT+044gTe++c1cd+21rLLqqnx8t90YNWpUN602r1dNnsxZf7icq666iucWLuQ7r3vd4OwKWycJXocpSZLqrnVOWdTBa3fflScXPfyScYuXLGLEqjD92RVedmOZKU8uYYcdd6w8rptumsapX3o/h+6/gJ98cyL7vHoOnzrpXdxzz+Donrb99ttz/VNLXrJ9M5PrnlzCdttt1+U8O0zemVsee+ln9fC8dtbdqPdibs011+SZYcEzi15anN785CO88rWv7VO8tyx49mXx3vLss2xfc1fSKddey5ff/0F2m7uQT2+0NVvOmMmH3/5OHnzwwV6X0SgrrLACr371qzn88MOZOHFit9fDjhs3jkPf+lb233//liw2O6yyyioccMABvOWQQyw2e5WQS/v3J0mS1MmQOsN50MEH8etzL+S++//F2qM2ZsHz83hk6V185tRP8u/bbuLUq3/HW7cYy7AIfnv3k6yz4+vYYostKo/rJz/6Bp/5yATGbVCcfd1h4jp89H3Bz3/6Xb70ldMrX37Vxo8fz+av2Ydv3fBX3rLZWAAuvvtJXvHqvdh44427nOe9x3+Q4w4/ggUPP89WY9fmgaef4s/tD/PVn/6w1+WtsMIKnPDpT3LG/36OA9s2pm30Ktz8+Gymj16Bjx7yll7n32STTdjida/jJ9dcw/4bjGNpJn+Z9TDb7r0nG274Yrfr//v6NzjuFRNYc9RoACauXZyR/dkZ3+eUr3+t1+VIzceiUZI0+NwzfXpd2hkxZgwTJ0+uS1tDyZAqOFdaaSV+ceE5XHjBb7jisr+z6TptfPGY7zFhwgT2239frt55Fy78za9YumQpe33wQ+y9zz4DElf7U48yboOXnrnbdus2TvvJrQOy/IHwic9+niuveB3nX3w+APuc+BH23GuvbqdfZ511OPM3F3D+uefx+6k3sdHkCZzxnq/3+fq73ffYg/V+vj7n//xspsyezeQjDuLDhx3G6NGj+zT/J7/4Ba7429/4y0UXEREc8L+fYo8993zJNE/PeZw11974JeO2aVuH394yeD43DR3FTYM271cbN9z4cO8TSZI0wJbOn8+ktrZ+tzOtm0vB1LMhVXACjBo1iiOPegdHHvXSG89EBLvtvju77b77gMe00shVefKpBYxd48Wuiw/MnMs66w6eR7JEBHvutVePRWZnY8eO5bgPf2i5l7nVVlvxua99dbnmjQj22ntv9tp7726nGbHKKjyz6DlWGbHSC+MemPsUG3Zz1lZqZgsXPsf06f9udBiSJGmQGVLXcDardxz5Qb7+vduZ+3RxzeGcJ57lmz/4N+888vgGR6aevOO49/Gzu+984VrRx5+dz3kz7+FdJ3ywwZFJyyNJlvbrT5IkqbMhd4azGe21174sWbKET3zpBzy/aB4jR63Be9/3JSZNmtTo0Ia0JUuWcMcddwCw7bbbvuyxIG86+GAigu/84Ic8P38+q7WtxcdO+yYTJ05sRLjqg3vuuYennnqKCRMm9Ll79dBi0ShJkurLgrNJ7LvvG9h33zc0OgyVbr31Vj5w3IdYsGAJAYxeeTg/+L/vvayYPOCggzjgoIMaE6T67IknnuDEYz7I4kfmseoKo5j5/BMc/dEPcMhhhzY6tCaS3mlWkiTVnQWn1MmCBQs45pjjGJZrsurokQAsem4hxxxzHFdffQUrrbRSLy2o2Zz0oY+x7dw12Wy94oDB80sXc943f8S2201kq622anB0zWHkyJFstfWW/Wpj6tRr6xSNJEmD121TprCovb3f7Tw4cybja56gsDwG4s67LVNwRsR+wOnAMODMzDy1wSFpkPrnP//JcwuCMauNfGHciBEjmTsvufbaa9m9ATeW0vJ74oknePyeWey/wetfGLfiCsN51SqbcfEvL+RTX/hMA6NrHgsXLmR6nW4b353evscjYiXgHGAS8ARwWGbeX773SeBoYAnwocy8rC9tqmduP0kaeIva2+ty19wZU6cyaccd+9XGQNx5tyVuGhQRw4DvA/sDE4C3RcSExkalwWrBggUsWZwvG79kSbJgwYIGRKT+WLhwISutsOLLxo8cNoL5zzzTgIia2dJ+/nWvj9/jRwNPZeZmwGnA18p5JwCHA9sA+wE/iIhh5ob+cftJkgZCSxScwM7A3Zl5b2YuAn4NeOGcKrHLLrswfKXFLF364g/opUuXMnzEYib7sN+Ws/7667NodNC+8KXF5S3P3M/eb9qvQVE1o4Ts51/P+vI9fhBwdvn6ImDPiIhy/K8z87nMvA+4u2zP3NA/bj9JUuVapUvtBsDMmuGHgFc1KBYNcm1tbZx44vGc9u3vsXTxKAhYYdgCPnHSiYwdO7bR4WkZRQSnfOvLnPy+j7DNsPVYbdgo/r3oETZ41Za87vWv772BIaK4hrN/17NOm3ZDT2/35Xv8hWkyc3FEzAXWLMdP6TRvx4OKzQ3Lz9wqSapcZO9HpRsuIg4F9s3M95bD7wR2zswTaqY5Fji2HNwWuH3AA20OawGPNzqIBnHdh6ahvO5bZuaq9WgoIv5CsS37YySwsGb4x5n547L9vnyP31FO81A5fA/FWbgvANdl5nnl+J8Cf6LopdNjm+peXz6Tcnxtft0S+Hc/F92K/2eNuXqtFi8Y80BotXih9WKuV7wbZWaXF6a2yhnOh4DaWzCNA2bVTlD+qOn4YTM1M3cauPCah+vuug81Q33d69VWZlbdv7jX7/GaaR6KiOHA6sCTvczbW5vqXl8+k5fk13poxf+zxly9VosXjHkgtFq80HoxD0S8rXIN543A5hGxSUSMoLh5xKUNjkmS1Hd9+R6/FDiqfH0IcGUW3XAuBQ6PiJUiYhNgc+CGPrap7rn9JEmVa4kznOW1PMcDl1Hcuv1nmXlHg8OSJPVRd9/jEfEFYGpmXgr8FDg3Iu6mOLN5eDnvHRFxAXAnsBj4YGYuATA3LD9zqyRpILREwQmQmX+iuGanL+rW9acFue5Dk+s+NLXUunf1PZ6Zn615vRA4tJt5vwx8uS9tqu8atP1aar8tGXP1Wi1eMOaB0GrxQuvFXHm8LXHTIEmSJElS62mVazglSZIkSS1m0BWcEbFfRPw7Iu6OiJMbHU89RcSGEfH3iJgeEXdExIfL8WMj4vKImFH+u0Y5PiLiu+W2+FdE7NjYNei/iBgWETdHxB/K4U0i4vpy3c8vb3xBeXOR88t1vz4iNm5k3P0VEWMi4qKIuKv8/HcZKp97RHyk3N9vj4hfRcTIwfq5R8TPIuKxiLi9Ztwyf84RcVQ5/YyIOKqrZUlV6C0HR8S7ImJORNxS/r235r2G7Ld9iPm0mnj/ExHtNe8tqXlvQG641NX3RKf3m+q7oQ/xHlHG+a+IuDYitqt57/6IuK3cvnW7K3cdYt4tIubWfPafrXmvIb9D+xDzx2vivb3cd8eW7w34do5uftN2mqZp9uU+xttU+3IfYx6YfTkzB80fxU0P7gE2BUYAtwITGh1XHddvPWDH8vWqwH+ACcDXgZPL8ScDXytfvwH4MxDAZOD6Rq9DHbbBR4FfAn8ohy8ADi9f/xA4rnz9AeCH5evDgfMbHXs/1/ts4L3l6xHAmKHwuVM8mP4+YFTN5/2uwfq5A68DdgRurxm3TJ8zMBa4t/x3jfL1Go1eN/8G/19fcnD5//eMLuZtyH67rL8bgBMobq7UMfxMA7bzy74nOr3fVN8NfYh31444gP1rcxZwP7BWE27j3Sh/h/RnfxrImDtN+yaKu4A3bDvTzW/aTtM0zb7cx3ibal/uY8wDsi8PtjOcOwN3Z+a9mbkI+DVwUINjqpvMnJ2ZN5Wv5wHTKX6QH0RRkFD+e3D5+iDgnCxMAcZExHoDHHbdRMQ44I3AmeVwAHsAF5WTdF73jm1yEbBnOX3LiYjVKBLJTwEyc1FmtjNEPneKm5uNiuK5jKOB2QzSzz0z/0Fxd9Zay/o57wtcnplPZuZTwOVA1c/YlKB/ObhR++2yxvw24FcDEFe3uvmeqNVU3w29xZuZ15bxAEyheB5sQ/VhG3enYb9DlzHmZtiPu/tNW6tp9uW+xNts+3Ift3F36rovD7aCcwNgZs3wQ/R9w7aUKLoK7gBcD6yTmbOh2LmAtcvJBtv2+A7wCWBpObwm0J6Zi8vh2vV7Yd3L9+eW07eiTYE5wM+j6E58ZkSszBD43DPzYeCbwIMUheZcYBpD43PvsKyf86D5/NVy+rrvvaXscnZRRGy4jPPWW5+XGxEbAZsAV9aMHhkRUyNiSkQc3NV8DdDK3w1HU5zR6pDAXyNiWkQc26CYurNLRNwaEX+OiG3KcU2/jSNiNEVx9pua0Q3dzp1+09Zqyn25h3hrNdW+3EvMle/LLfNYlD7q6kzGoLsNb0SsQvFFcWJmPt3DCZxBsz0i4gDgscycFhG7dYzuYtLsw3utZjhFN5kTMvP6iDidomtldwbNukdxveJBFD/y2oELKbqpdDYYP/fedLeuQ2kbqLn0Zd/7PfCrzHwuIt5PcdZ+jz7OW4VlWe7hwEVZPgO2ND4zZ0XEpsCVEXFbZt5T9yiXTUt+N0TE7hQ/0l9TM/rV5fZdG7g8Iu4qz+Q12k3ARpn5TES8AfgtsDlNvo1LbwKuyczas6EN286df9N2fruLWRq6L/cSb8c0TbUv9xLzgOzLg+0M50PAhjXD44BZDYqlEhGxIsVO84vMvLgc/WhHl8ny38fK8YNpe7waODAi7qc4rb8HxRnPMWVXS3jp+r2w7uX7q7N83WOawUPAQ5nZcVTqIooCdCh87nsB92XmnMx8HriY4hqJofC5d1jWz3kwff5qLb3ue5n5RGY+Vw7+BJjU13krsizLPZxO3RAzc1b5773AVRRnEBqt5b4bIuK/KC6XOSgzn+gYX7N9HwMuoejm13CZ+XRmPlO+/hOwYkSsRRNv4xo97ccDup27+U1bq6n25T7E23T7cm8xD9S+PNgKzhuBzaO4g+UIiv9UA3LXuIFQXov2U2B6Zn675q1LgY47dB0F/K5m/JHlXb4mA3M7uua1msz8ZGaOy8yNKT7XKzPzCODvwCHlZJ3XvWObHFJO32xHGfskMx8BZkbEluWoPYE7GQKfO0VX2skRMbrc/zvWfdB/7jWW9XO+DNgnItYozxDvU46TqtZrDu50PfmBFNcUQeP22z79bii/f9cArqsZt0ZErFS+XoviwOidAxBzb1rquyEixlMcTHxnZv6nZvzKEbFqx2uKeLu8A+tAi4h1O+4PEBE7U/yefoIm/x0aEasDr+fFPNKw7dzDb9paTbMv9yXeZtuX+xjzwOzLOYB3SxqIP4o7Wv2H4s5K/9voeOq8bq+hOJ39L+CW8u8NFNeoXQHMKP8dW04fwPfLbXEbsFOj16FO22E3XrxL7abADcDdFN0tVyrHjyyH7y7f37TRcfdznbcHppaf/W8pfvgMic8d+DxwF8WX87nASoP1c6c46jwbeJ7i6OLRy/M5A+8pt8HdwLsbvV7+DZ2/rnIw8AXgwPL1V4E7KO54+Hdgq5p5G7Lf9hZzOXwKcGqn+XYt/+/dWv579ADF29X3xPuB95fvN9V3Qx/iPRN4ihd/10wtx29abttby31mwH7T9SHm42v24ynArj3tT80QcznNu4Bfd5qvIduZ7n/TNuW+3Md4m2pf7mPMA7IvR9mgJEmSJEl1Ndi61EqSJEmSmoQFpyRJkiSpEhackiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkuouIp6pef2GiJhRPquw83QHRsTJvbS1fkRcVEVsVYuIsyLikE7jtouIW2qG3xYRz0bEiuXwxIj4Vy/tfiEi9uplmlMi4n+6GD8mIj6wbGsiLR8LTqmTiNgwIu6LiLHl8Brl8EZdTDsqIq6OiGHL0P7xEfHuesYsSVKziog9ge8B+2Xmg53eG56Zl2bmqT21kZmzMvOQnqZpMbcBG0XEquXwrhTPnN6hZvianhrIzM9m5t+Wc/ljAAtODQgLTqmTzJwJ/B/QkfxOBX6cmQ90Mfl7gIszc8kyLOJnwIf6F6UkSc0vIl4L/AR4Y2beU447KyK+HRF/B74WEe+KiDPK914REVMi4sbyDN4z5fiNI+L28vW7IuLiiPhLedb06zXLOzoi/hMRV0XETzra7Sa2b0XETRFxRUS0leOOKZd9a0T8JiJGl+MPjYjby/H/KMcNi4hvlNP/KyLeV46PiDgjIu6MiD8Ca3dedmYuBW4EXlWOmgR8n6LQpPz32rK9SeXB7WkRcVlErFezHQ8pX78hIu6KiH9GxHcj4g81i5tQbo97I6Lj98epwCsi4pZyHdaLiH+Uw7eXn5tUFxacUtdOAyZHxInAa4BvdTPdEcDvACJitzIhXFAmu1Mj4oiIuCEibouIVwBk5rPA/RGx80CsiCRJDbISRY48ODPv6vTeFsBemfmxTuNPB07PzFcCs3poe3vgMGAicFjZO2l94DPAZGBvYKse5l8ZuCkzdwSuBj5Xjr84M1+ZmdsB04Gjy/GfBfYtxx9YjjsamFvG+krgmIjYBHgzsGUZ2zG8WER2di2wa0SsDCwFruKlBec1ZRfb7wGHZOYkioPWX65tJCJGAj8C9s/M1wBtnZazFbAvsDPwubLNk4F7MnP7zPw48HbgsszcHtgOuAWpTiw4pS5k5vPAxykKzxMzc1HnaSJiBLBpZt5fM3o74MMUSeadwBaZuTNwJnBCzXRTAY8eSpIGs+cpiqqju3jvwm56B+0CXFi+/mUPbV+RmXMzcyFwJ7ARRUF1dWY+WebxC3uYfylwfvn6PIqDywDbRsT/i4jbKA4qb1OOvwY4KyKOATouo9kHOLK8FvN6YE1gc+B1wK8yc0lmzgKu7CaGaygKy52BG8szwJuVZ1tXycx7KQrXbYHLy+V8GhjXqZ2tgHsz875y+Fed3v9jZj6XmY8DjwHrdBHLjcC7I+IUYGJmzusmZmmZWXBK3dsfmE3xRd+VtYD2TuNuzMzZmfkccA/w13L8bcDGNdM9Bqxfv1AlSWo6S4G3Aq+MiE91em9+P9t+rub1EmA4EF1NWHZ9vaX8+0I37WX571nA8Zk5Efg8MBIgM99PUextCNwSEWuWyzuhPEu4fWZukpl/7dReT6ZQnBl9DXBdOe4h4HDK7rTlMu6oWcbEzNyn8yr2spyuttVLZOY/KArlh4FzI+LIPsQv9YkFp9SFiNieojvOZOAjHddLdLKAMhHVqP1SX1ozvJSXfsGPLOeXJGnQKi8jOQA4IiK6OtPZ2RTgLeXrw5dxcTcAry9v9je8o53yTGNHwfbZctoVgI6bEL0d+Gf5elVgdtnt9IiOhiPiFZl5fTn/4xSF52XAcfHinWW3KLvH/gM4vCx01wN27yrY8iziTOBdvFhwXgecyIsF57+BtojYpVzGihGxTaem7gI2jYiNy+HDet9UzCvXtWP9NgIey8yfAD8FduxDG1KfvOwIhzTURURQ3DToxMx8MCK+AXyTmsQDkJlPlclkZNmlZ1lsQS93n5MkaTDIzCcjYj/gHxHxeC+TnwicFxEfA/4IzF2G5TwcEV+h6N46i6KrbXfzzwe2iYhp5TQdRdpnyvkfoOid1FGUfSMiNqc4m3gFcCvwL4reSzeVvx3mAAcDlwB7lPP/h+Ia0e5cAxxU3rAQioLzK5QFZ2YuKm8M9N2IWJ3it/t3gDtq1ntBFI84+Uu5fW/oYXkd8zwREddEcSOmPwO3Ax+PiOeBZwDPcKpuIrMvZ/yloSMijgX2zMzDyuFhFF/eH83MqztN+1OK6zT+FhG7Af+TmQeU711VDk/t4r2bgH3K6ykkSRJQ3hV2QWZmRBwOvC0zD1qG+VfJzGfKM5yXAD/LzEuqirdZ1Kx3UNztdkZmntbouCSw4JT6JSJ2oChE31nlPJIkDQXl4zjOoDiT2A68JzPvXob5vwnsRXHpyl+BD+cQ+LEbER8BjgJGADcDx5TdmaWGs+CU+iki3gOc3ddncUbE3hRHHu+vNDBJkiSpwSw4JUmSJEmV8C61kiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKWHBKDRQRn4qIMxsdRxUi4s8RcVSj45AkLbuIGB8Rz0TEsHpO20wi4pSIOK/RcSyriHhXRPyz0XF0p1X3B1XHglPqh4i4PyIejYiVa8a9NyKu6sv8mfmVzHxvBXFdFRELyy/8xyPi4ohYr97L6Ulm7p+ZZ5fxNHVylKTBrsxXe9UMHx4RT0XE67uaPjMfzMxVMnNJb20vy7TLKiLOiohFETGv/Ls9Ir4aEavXe1nLIyI2joiMiOGNjgVeEs8z5d/9EXHyQMbQeX8of5PU/beOWocFp9R/w4EPNzqILhyfmasAWwBjgNOWtYFmSaCSpPope598H3hjZl7dxfvN9t3/9cxcFWgD3g1MBq6pPdjbqirc1mPK3wBvAz4bEfsty8xRsE5QXbgjSf33DeB/ImJMV29GxOkRMTMino6IaRHx2pr3XujOExF/iYjjO817a0T8d/l6q4i4PCKejIh/R8Rb+xJcZj4J/AbYtmxn9Yg4JyLmRMQDEfHpjqRSnom8JiJOi4gngVMiYoVymgci4rFy3tXL6UdGxHkR8UREtEfEjRGxTvneVeXZ3q2BHwK7lEdb2yPileWZ4RcSbUS8JSJu6dsmlyQtj4g4FvgWsG9mXluO6zgrdnREPAhc2fnMXURsEhH/KM8y/i0ivl+TvzpPe1VEfLHMJ/Mi4q8RsVZNDEeWOeWJiPhM57Ov3cnMhZl5I3AgsCZF8dnR5nsiYnp51vayiNio5r1tavLnoxHxqS62y24R8VCncS/EFRE7R8TUMpc/GhHfLif7R/lve5njdulDPBkRH4yIGcCMcly3OT4i1oyIS8tl3wC8ordtVbPNrgPu4MXfALuWuXpu+e+uNcu5KiK+HBHXAM8Cm0bE+uWyn4yIuyPimJrpu9yh00r4AAAgAElEQVQmtftDRHwZeC1wRrl9zij3nW912ta/j4gT+7peai0WnFL/TQWuAv6nm/dvBLYHxgK/BC6MiJFdTPdLiiORAETEBGAj4I9RHMW9vJxm7XK6H0TENr0FVyb5twA3l6O+B6wObAq8HjiSmqQNvAq4t1zOl4F3lX+7l/OsApxRTntU2daGFMn//cCC2uVn5vRy/HVlF5sx5Q+GJ4C9ayZ9B3Bub+sjSVpuxwFfBPbMzKldvP96YGtg3y7e+yVwA8V3/SnAO3tZ1tspcsvawAjKHFnmth8ARwDrUeSQDZZlJTJzHkVOfG3Z5sHAp4D/pjgL+v+AX5XvrQr8DfgLsD6wGXDFsiyvdDpwemauRlHwXVCOf13575gyx13XUzw1DqbItxP6kOO/Dyyk2F7vKf96FYVXA9sAN0fEWOCPwHcpPsdvU/zGWLNmtncCxwKrAg+UcT9Ese0OAb4SEXv2sk1ekJn/W67/8eX2OR44G3hbvHiwey1gzy62kQYJC06pPj4LnBARbZ3fyMzzMvOJzFycmd8CVgK27KKNS4Dta46CHgFcnJnPAQcA92fmz8t2bqI4a3lIDzF9NyLagVuB2cBHo7iA/zDgk5k5LzPvpzjSXfvDYVZmfq9czoIyjm9n5r2Z+QzwSeDw8kj28xRJa7PMXJKZ0zLz6b5sMIqE8w6AMgnuS5FsJUnV2BuYAtzWzfunZOb88rv/BRExHngl8NnMXJSZ/wQu7WVZP8/M/5RtXUBx4BWKvPX7zPxnZi6iyJ+5HOsyi+JALsD7gK9m5vTMXAx8hRfz6QHAI5n5rfIM6bzMvH45lvc8sFlErJWZz2TmlB6m7SmeDl/NzCfL7dNtji/z9lsotv38zLydIn/25nHgSeBM4OTMvAJ4IzAjM88tl/Mr4C7gTTXznZWZd5Rxrwu8Bjip3Ha3lO11/GZYlm3ygsy8AZhLUWQCHA5clZmP9mV+tR4LTqkOygTwB+BlF+ZHxMfKbjVzywJwdWCtLtqYR3Hk8fBy1OHAL8rXGwGviqI7anvZzhEUyaA7HyrPJm6QmUdk5pxyuSMojlp2eICXHl2e2amd9buYfjiwDsUZycuAX0fErIj4ekSs2ENMtc4D3hQRqwBvBf5fZs7u47ySpGX3forr+s+MiOji/c7f/x3WB57MzGf7MG2HR2peP0vRO6ajrRfmLdt8ope2urIBRUEFRY48vSY/PglEOc2GwD3L0X5nR1Nsu7vKrqgH9DBtT/F0mNlp+u5yfBtFzq2dvjYnd2etzFwjM7fOzO+W4zrn8462uour43Of1830y7JNOnvhoDP2cBr0LDil+vkccAw1X9xRXK95EkVBtUZmjqE4qtdVooeiO8nbymtARgF/L8fPBK4uC8iOv1Uy87hljPFxiiOStUdZxwMP1wx3PtI8q4vpFwOPZubzmfn5zJwA7EpxlPbILpb7sqPXmfkwcB3wZoqjpSYbSarWYxRnlV5L0a21s+7ONM4GxkbE6JpxGy5nDLOBcR0DETGKoqdMn5UHKvei6KoJRY58X6ccOaq8RnUmfbvmcT7wwvqVZxZf6LWUmTMy820UXV6/BlxUdoXtapv1FM8LTXaavrscP4ci59Zu7/F9WJ+udM7nHW119xtgFsXnvmpX0/ewTTrrahudBxwUEdtRdOP+7bKsiFqLBadUJ5l5N3A+8KGa0atSJIo5wPCI+CywWg/N/IkiGXwBOD8zl5bj/wBsERHvjIgVy79XRnFDnmWJcQlF16YvR8SqZfeej1J88XfnV8BHorhhxCoUXYPOz8zFEbF7REwsE/PTFMVsV7fFfxQYFxEjOo0/B/gEMJGiS7EkqUKZOQvYA9gvIvp09/LMfIDifgWnRMSI8qDom3qZrTsXUfRu2bXMCZ+n+4OwLxERK0XEJIri5Cng5+VbPwQ+2XHNYxQ3xzu0fO8PwLoRcWI5/6oR8aoumv8PMDIi3lj21Pk0xSUwHct+R0S0lXm5vRy9hCK/L6W4x0GHnuLpSrc5vszbF1Ns+9HlNbDL+4zrP5XLeXt5Q5/DgAnl8l8mM2cC1wJfjeImgf9FcVbzF+V6dbdNOnuUl24fMvMhintcnAv8pnM3bg0uFpxSfX0BqD26dxnwZ4pE9gDFRf/ddkMqr9e8mOLI7S9rxs8D9qHoZjuLoqvS16hJhsvgBIojufcC/yyX87Mepv8ZRUL4B3BfuQ4nlO+tS/Hj4WlgOnA1XRevV1LcJe+RiHi8ZvwlFAX2JZk5fznWRZK0jMpCYg+KawS/2sfZjgB2oej++iWKA6zPLcey76DIIb+mONs5j+LMa09tfSIi5lF0TT0HmAbs2pE3MvMSipz464h4Grgd2L98bx7FtatvosidMyhugtc5rrnAByiuUXyYIk/W3rV2P+COiHiG4mY5h5fXNT5LcYO9a8rusJN7iqebbdJbjj+eokvyI8BZvFhoL5PMfIKiJ9LHKD7HTwAHZObjPcz2NmDjMq5LgM9l5uXle11uky7aOJ1iX3sqIr5bM/5sigPO9nAa5CJzea7TlqT6iIh7KLoe/a3RsUiS+iYizgfuyszP9bOdVSjOjm2emffVJTi1hIh4HcVB6o1renRpEPIMp6SGiYi3UFzbcWWjY5Ekda/s4vmKKJ7NvB9wEMt53V1EvKnsHroy8E2Ku+beX79o1ezKbssfBs602Bz8mqrgjIgxEXFRRNxV3tVzl4gYG8WDcGeU/67R6Dgl9V9EXAX8H/BBk41ULfOr6mBdimdOP0PxHMfjMvPmHufo3kEUXTRnAZtTdMW0y90QUd5/op3iuaLfaXA4GgBN1aU2Is6meDTCmeWF5KMpHpz7ZGaeGhEnU9zp86SGBipJUgsxv0qSGqVpCs6IWI3iAfWb1h7lioh/A7tl5uyIWI/iwbBbNipOSZJaiflVktRIzdSldlOKW0v/PCJujogzy77963Q8DL78d+1GBilJUosxv0qSGmZ4owOoMRzYETghM6+PiNOBk/s6c0QcCxwLsPLKK0/aaqutqolSktTSpk2b9nhmtvU+5aBhfpUkVaqn3NpMXWrXBaZk5sbl8GspEuJmLGOXn5122imnTp1adciSpBYUEdMyc6dGxzFQzK+SpKr1lFubpkttZj4CzIyIjmS3J3AncClwVDnuKOB3DQhPkqSWZH6VJDVSM3WpBTgB+EV5B717gXdTFMUXRMTRwIPAoQ2MT5KkVmR+lSQ1RFMVnJl5C9DVqdg9BzoWSZIGC/OrJKlRmqZLrSRJkiRpcLHglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlRje6AA6i4j7gXnAEmBxZu4UEWOB84GNgfuBt2bmU42KUZKkVmJulSQ1SrOe4dw9M7fPzJ3K4ZOBKzJzc+CKcliSJPWduVWSNOCateDs7CDg7PL12cDBDYxFkqTBwNwqSapcMxacCfw1IqZFxLHluHUyczZA+e/aDYtOkqTWY26VJDVE013DCbw6M2dFxNrA5RFxV19mKhPosQDjx4+vMj5JklrNcuVWML9Kkvqn6c5wZuas8t/HgEuAnYFHI2I9gPLfx7qY78eZuVNm7tTW1jaQIUuS1NSWN7eW85hfJUnLrakKzohYOSJW7XgN7APcDlwKHFVOdhTwu8ZEKElSazG3SpIaqdm61K4DXBIRUMT2y8z8S0TcCFwQEUcDDwKHNjBGSZJaiblVktQwTVVwZua9wHZdjH8C2HPgI5IkqbWZWyVJjdRUXWolSZIkSYOHBackSZIkqRIWnJIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRIWnJIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRIWnJIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRIWnJIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRIWnJIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRIWnJIkSZKkSgxvdACSJElqTrdNmcKi9vZ+tTFizBgmTp5cp4gktRoLTkmSJHVpUXs7k9ra+tXGtDlz6hSNpFZkl1pJkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlRje6AAkSZI0eN0zfXpd2hkxZgwTJ0+uS1uSBo4FpyRJkiqzdP58JrW19budaXPm1CEaSQPNLrWSJEmSpEpYcEqSJEmSKmHBKUmSJEmqhAWnJEmSJKkSFpySJEmSpEpYcEqSJEmSKmHBKUmSJEmqhAWnJEmSJKkSFpySJEmSpEo0XcEZEcMi4uaI+EM5vElEXB8RMyLi/IgY0egYJUlqNeZXSVIjNF3BCXwYmF4z/DXgtMzcHHgKOLohUUmS1NrMr5KkAddUBWdEjAPeCJxZDgewB3BROcnZwMGNiU6SpNZkfpUkNUpTFZzAd4BPAEvL4TWB9sxcXA4/BGzQiMAkSWph5ldJUkMMb3QAHSLiAOCxzJwWEbt1jO5i0uxm/mOBYwHGjx9fSYySJLUa8+vQdNuUKSxqb+93O/dNn86ktrY6RCRpqGqaghN4NXBgRLwBGAmsRnFEdkxEDC+Pwo4DZnU1c2b+GPgxwE477dRl0pQkaQgyvw5Bi9rb61Iozpg6tQ7RSBrKmqZLbWZ+MjPHZebGwOHAlZl5BPB34JBysqOA3zUoREmSWo75VZLUSE1TcPbgJOCjEXE3xTUnP21wPJIkDQbmV0lS5ZqpS+0LMvMq4Kry9b3Azo2MR5KkwcD8KkkaaK1whlOSJEmS1IIsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlWjKx6JIy+q2KVNY1N7e73YenDmT8Rtu2O92RowZw8TJk/vdjiRJktTKLDg1KCxqb2dSW1u/25kxdSqTdtyx3+1MmzOn321IkiRJrc4utZIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRIWnJIkSZKkSlhwSpIkSZIqYcEpSZIkSaqEBackSZIkqRLDGx2AhrbbpkxhUXt7v9u5b/p0JrW11SEiSZIkSfViwamGWtTeXpdCccbUqXWIRpIkSVI92aVWkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlais4IyIbatqW5KkocjcKklqNVWe4fxhRNwQER+IiDEVLkeSpKHC3CpJaimVFZyZ+RrgCGBDYGpE/DIi9q5qeZIkDXbmVklSq6n0Gs7MnAF8GjgJeD3w3Yi4KyL+u8rlSpI0WJlbJUmtpMprOP8rIk4DpgN7AG/KzK3L16dVtVxJkgYrc6skqdUMr7DtM4CfAJ/KzAUdIzNzVkR8usLlSpI0WJlbJUktpcqC8w3AgsxcAhARKwAjM/PZzDy3wuVKkjRYmVslSS2lyms4/waMqhkeXY6TJEnLx9wqSWopVRacIzPzmY6B8vXoCpcnSdJgZ26VJLWUKgvO+RGxY8dAREwCFvQwvSRJ6pm5VZLUUqq8hvNE4MKImFUOrwccVuHyJEka7MytkqSWUlnBmZk3RsRWwJZAAHdl5vNVLU+SpMHO3CpJajVVnuEEeCWwcbmcHSKCzDyn4mVKkjSYmVslSS2jsoIzIs4FXgHcAiwpRydgUpQkaTmYWyVJrabKM5w7ARMyMytchiRJQ4m5VZLUUqq8S+3twLoVti9J0lBjbpUktZQqz3CuBdwZETcAz3WMzMwDK1ymJEmDmblVktRSqiw4T6mwbUmShqJTGh2AJEnLosrHolwdERsBm2fm3yJiNDCsquVJkjTYmVslSa2msms4I+IY4CLgR+WoDYDfVrU8SZIGO3OrJKnVVHnToA8CrwaeBsjMGcDaFS5PkqTBztwqSWopVRacz2Xmoo6BiBhO8aywbkXEyIi4ISJujYg7IuLz5fhNIuL6iJgREedHxIgK45YkqVmZWyVJLaXKgvPqiPgUMCoi9gYuBH7fyzzPAXtk5nbA9sB+ETEZ+BpwWmZuDjwFHF1h3JIkNStzqySppVRZcJ4MzAFuA94H/An4dE8zZOGZcnDF8i+BPSiuWQE4Gzi4ioAlSWpy5lZJUkup8i61S4GflH99FhHDgGnAZsD3gXuA9sxcXE7yEMVNEjrPdyxwLMD48eOXP3BJkprUQOfWcl7zqyRpuVVWcEbEfXRxXUlmbtrTfJm5BNg+IsYAlwBbdzVZF/P9GPgxwE477dTj9SySJLWigc6t5bzmV0nScqus4AR2qnk9EjgUGNvXmTOzPSKuAiYDYyJieHkkdhwwq56BSpLUIsytkqSWUtk1nJn5RM3fw5n5HYrrRboVEW3l0VciYhSwFzAd+DtwSDnZUcDvqopbkqRmZW6VJLWaKrvU7lgzuALFUdlVe5ltPeDs8lqTFYALMvMPEXEn8OuI+BJwM/DTKmKWJKmZmVslSa2myi6136p5vRi4H3hrTzNk5r+AHboYfy+wcz2DkySpBZlbJUktpcq71O5eVduSJA1F5lZJUqupskvtR3t6PzO/XdWyJUkajMytkqRWU/Vdal8JXFoOvwn4BzCzwmVKkjSYmVslSS2lyoJzLWDHzJwHEBGnABdm5nsrXKYkSYOZuVWS1FIqeywKMB5YVDO8CNi4wuVJkjTYmVslSS2lyjOc5wI3RMQlQAJvBs6pcHmSJA125lZJUkup8i61X46IPwOvLUe9OzNvrmp5kiQNduZWSVKrqbJLLcBo4OnMPB14KCI2qXh5kiQNduZWSVLLqKzgjIjPAScBnyxHrQicV9XyJEka7MytkqRWU+U1nG8GdgBuAsjMWRGxaoXLkyRpsDO3asi6Z/r0urQzYswYJk6eXJe2JPWuyoJzUWZmRCRARKxc4bIkSRoKzK0aspbOn8+ktrZ+tzNtzpw6RCOpr6osOC+IiB8BYyLiGOA9wE8qXJ7UNDwKK6ki5tZB7rYpU1jU3t7vdu6bPr0uxZkk9VeVd6n9ZkTsDTwNbAl8NjMvr2p5UjPxKKykKphbB79F7e11yR8zpk6tQzSS1H+VFJwRMQy4LDP3AkyEkiT1k7lVktSKKrlLbWYuAZ6NiNWraF+SpKHG3CpJakVVXsO5ELgtIi4H5neMzMwPVbhMSZIGM3OrJKmlVFlw/rH8k7ScvPmQpE7MrZKkllL3gjMixmfmg5l5dr3bloYabz4kCcytkqTWVcU1nL/teBERv6mgfUmShhpzqySpJVVRcEbN600raF+SpKHG3CpJaklVXMOZ3byWJEnLx9wq1Yn3R5AGVhUF53YR8TTF0dhR5WvK4czM1SpYpiRJg5m5VaoT748gDay6F5yZOazebUqSNJSZWyVJraqKazglSZIkSbLglCRJkiRVw4JTkiRJklQJC05JkiRJUiUsOCVJkiRJlbDglCRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlRje6ADUum6bMoVF7e39auO+6dOZ1NZWp4gkSZIkNRMLTi23Re3t/S4WZ0ydWqdoJEmSJDUbu9RKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKWHBKkiRJkiphwSlJkiRJqoQFpyRJkiSpEk1TcEbEhhHx94iYHhF3RMSHy/FjI+LyiJhR/rtGo2OVJKlVmF8lSY3UNAUnsBj4WGZuDUwGPhgRE4CTgSsyc3PginJYkiT1jflVktQwTVNwZubszLypfD0PmA5sABwEnF1OdjZwcGMilCSp9ZhfJUmNNLzRAXQlIjYGdgCuB9bJzNlQJM2IWLuBoUmS1LLMr1L93DN9el3aGTFmDBMnT65LW1IzarqCMyJWAX4DnJiZT0dEX+c7FjgWYPz48dUFKElSCzK/SvW1dP58JrW19budaXPm1CEaqXk1TZdagIhYkSIZ/iIzLy5HPxoR65Xvrwc81tW8mfnjzNwpM3dqq8N/fkmSBgvzqySpUZqm4IziUOtPgemZ+e2aty4FjipfHwX8bqBjkySpVZlfJUmN1Exdal8NvBO4LSJuKcd9CjgVuCAijgYeBA5tUHySJLUi86skqWGapuDMzH8C3V1QsudAxiJJ0mBhfpUkNVLTdKmVJEmSJA0uFpySJEmSpEpYcEqSJEmSKmHBKUmSJEmqhAWnJEmSJKkSFpySJEmSpEo0zWNRJFXnnunT69LOiDFjmDh5cl3akiRJ0uBnwSkNAUvnz2dSW1u/25k2Z04dopEkSdJQYZdaSZIkSVIlLDglSZIkSZWw4JQkSZIkVcKCU5IkSZJUCQtOSZIkSVIlLDglSZIkSZWw4JQkSZIkVcKCU5IkSZJUCQtOSZIkSVIlLDglSZIkSZWw4JQkSZIkVWJ4owOQJElqdbdNmcKi9vZ+t3Pf9OlMamurQ0SS1BwsOCVJkvppUXt7XQrFGVOn1iEaSWoedqmVJEmSJFXCglOSJEmSVAkLTkmSJElSJSw4JUmSJEmVsOCUJEmSJFXCglOSJEmSVAkfiyJpSKvXs/NGjBnDxMmT6xCRJEnS4GHBKWlIq9ez86bNmVOHaCRJkgYXu9RKkiRJkiphwSlJkiRJqoQFpyRJkiSpEhackiRJkqRKeNOgIahed+W8b/r0utxsRZIkSdLgZME5BNXrrpwzpk6tQzSSJEmSBiu71EqSJEmSKmHBKUmSJEmqhAWnJEmSJKkSXsMpSU2kXjf1GjFmDBMnT65DRJIkScvPglOSmki9buo1bc6cOkQjSZLUP3aplSRJkiRVwoJTkiRJklQJC05JkiRJUiUsOCVJkiRJlfCmQZL67J7p0/vdhndPlSRJGjosOCX12dL58/t9B1XvnipJkjR0NFXBGRE/Aw4AHsvMbctxY4HzgY2B+4G3ZuZTjYpRkqRWYm7tWb2efXvf9Ol1eaSRNBj4TGnVaqqCEzgLOAM4p2bcycAVmXlqRJxcDp/UgNgkSWpFZ2Fu7Va9nn07Y+rUOkQjDQ4+U1q1muqmQZn5D+DJTqMPAs4uX58NHDygQUmS1MLMrZKkRmq2M5xdWSczZwNk5uyIWLuriSLiWOBYgPHjxw9geJJUnxsqgd3yNGD6lFvB/CpJ6p9WKDj7JDN/DPwYYKeddsoGhyNpiKnHDZXAbnlqPuZXSdL/b+/+Y+2+6zqOP99r6XAg3mFrso2Orjgg02q3dqMah1RMthF1Mw5Y+ZFlTFGGmrk/1InEhMRkxMQB/siyTFcRGBSVsOim4tgP/+AO2lHWzsradbiWNdCxVVlButG3f5zPtWe398fpPd+fvc9HcnK/5/v9nu953c/53PO+n/P9ccbRqUNqZ/GNiDgDoPz8Zst5JEnqO2urJKkRfRhw3glcXaavBj7bYhZJkk4G1lZJUiM6dUhtRNwBvAFYHhH7gT8CbgK2RMS1wBPAm9tLKElSv1hbpW6r6hoAfoWIuqpTA87M3DTLojc2GkSSpJOEtVXqtqquAeBXiKir+nBIrSRJkiSphxxwSpIkSZJq4YBTkiRJklQLB5ySJEmSpFo44JQkSZIk1cIBpyRJkiSpFg44JUmSJEm1cMApSZIkSaqFA05JkiRJUi0ccEqSJEmSauGAU5IkSZJUi6VtB9DodkxOcuTQobG38/iuXaxbsaKCRJIkSZI0OwecPXLk0KFKBoq7t26tII0kSZIkzc1DaiVJkiRJtXDAKUmSJEmqhQNOSZIkSVItPIdTkk5Cj+3aNfY2lk1MsGbDhgrSSJKkxcoBpySdhI4ePjz2Rca2HTxYURpJkrRYeUitJEmSJKkWDjglSZIkSbVwwClJkiRJqoXncEqSJEk9V8XF4sALxql6DjglNcqCKElS9aq4WBx4wThVzwGnpEZZECVJkhYPz+GUJEmSJNXCAackSZIkqRYOOCVJkiRJtXDAKUmSJEmqhQNOSZIkSVItHHBKkiRJkmrhgFOSJEmSVAsHnJIkSZKkWixtO4AkLcRju3ZVsp3Hd+1i3YoVlWxLkiRVp6pav2xigjUbNlSyLZ04B5ySeuno4cOVDBR3b91aQRpJklS1qmr9toMHK0ijhfKQWkmSJElSLRxwSpIkSZJq4SG1kiRJkoBqzpv0+gga5oBTkiRJElDNeZNeH0HDPKRWkiRJklQL93BKkqTe2TE5yZFDh8bejof+SVK9HHBKkqTeOXLokF+NJEk94CG1kiRJkqRauIdTkiQ1xkNhJWlxccA5h6qK4hP79nH2ypVjb8fiKknqOw+FldS0Kr7qBWDZxARrNmyoZFuLiQPOOVRZFNddcEEl25EkSZI0uiq+6gVgywMPVLIzarENXHsz4IyIS4EPA0uA2zLzppYjSZLUa9ZWSRpdVQPXbQcPVpCmP3px0aCIWAL8BXAZcB6wKSLOazeVJEn9ZW2VJDWhFwNO4CJgT2buzcwjwCeBy1vOJElSn1lbJV1BBhEAAAovSURBVEm168uA8yxg39D9/WWeJElaGGurJKl2kZltZ5hXRLwZuCQzf7XcfydwUWb+1tA67wbeXe6+BvhqBU+9HHiqgu00qW+Z+5YXzNyEvuUFMzehqryvzMxFf8nvUWprmV91fe1bvwMzN6FvecHMTehbXuhf5tpra18uGrQfGP5ekVcATw6vkJm3ArdW+aQRsTUz11e5zbr1LXPf8oKZm9C3vGDmJvQtbw/MW1uh+vrax9fRzPXrW14wcxP6lhf6l7mJvH05pPZLwLkRcU5ELAOuAu5sOZMkSX1mbZUk1a4Xezgz8/mI+E3gXxhcuv2vM/ORlmNJktRb1lZJUhN6MeAEyMy7gLsaftpKD9FtSN8y9y0vmLkJfcsLZm5C3/J2nrV1ZGauX9/ygpmb0Le80L/MteftxUWDJEmSJEn905dzOCVJkiRJPbOoBpwRcWlEfDUi9kTE78+w/NSI+FRZ/mBErCrzV0XEdyNie7ndMvSYdRGxozzmIxERHcj79qGs2yPiaESsLcvuK9ucWvYjVeUdMfPrI+KhiHg+Iq6ctuzqiNhdblcPzW+zjWfMGxFrI+ILEfFIRDwcEW8dWrY5Ih4fauO1VeUdJ3NZ9v2hXHcOzT+n9KHdpU8t60LmiNg4rS//b0RcUZbV1s4j5L0hIv6jvPb3RMQrh5Y13o/HydzxvjxXO7fSl3W8EV5Ha2v9mTtVW8fJ3NZ70phtbG2tLnOn6utC87bVj8fJXJbV05czc1HcGFwQ4TFgNbAM+Apw3rR1rgNuKdNXAZ8q06uAnbNs94vATwEB3A1c1nbeaeusAfYO3b8PWN9iG68CfgL4KHDl0PyXA3vLz9PL9OkdaOPZ8r4aOLdMnwkcACbK/c3D63aljcuyZ2fZ7hbgqjJ9C/CermSe1keeBk6rs51HzLtxKMd7OPZe0Xg/riBzl/vyjJnb6sveFvw6Wlvrz7yKjtTWCjI3/p40Tt6yzNpaXebO1Ncx81pbh26LaQ/nRcCezNybmUeATwKXT1vncuBvyvTfAW+c61OSiDgDeFlmfiEHr8BHgSs6lncTcEdFmeYzb+bM/FpmPgwcnfbYS4DPZebTmfkM8Dng0rbbeLa8mfloZu4u008C3wSa+CL5cdp4RqXP/ByDPgSDPlVVG0N1ma8E7s7M71SYbSaj5L13KMckg+8vhHb68ViZO96XZ2vnGTXQl3U8a2v9+lZbx8rc0nuStbX+2gr9q6/WVqrpy4tpwHkWsG/o/v4yb8Z1MvN54L+BHy7LzomIL0fE/RFx8dD6++fZZlt5p7yV44vi7WVX+furPOyA0TKf6GPbbuN5RcRFDD5Femxo9h+XQxVujohTx4v5AuNmfnFEbI2IyanDZxj0mUOlDy1km/OppJ0Z7GmY3pfraOcTzXstg09U53psnf14ruedzXDm/9fxvjw9cxt9Wcezth5jbZ3/eU9Ig+9J1tYX6uL7fh/+T7S2zmIxDThnevOffone2dY5AJydmecDNwCfiIiXjbjNhRon72BhxOuA72TmzqHlb8/MNcDF5fbOcYOOmmeBj227jefewOCTtb8FrsnMqU8QbwReC1zI4NCP3xsn5PSnnGHeiWQ+OzPXA28DPhQRr6pgm/Opqp3XMPi+wCl1tfPIeSPiHcB64E/meWxn2niGzFPzO9uXZ8ncRl/W8aytA9bW0Z539A00+55kbT2mq+/7nf4/0do6t8U04NwPrBy6/wrgydnWiYilwA8BT2fm9zLzWwCZuY3BJxSvLusP74aeaZuN5x1aftynVpn59fLz28AnGOx6r8oomU/0sW238azKP0b/BPxhZk5Ozc/MAznwPeB2utPGU4d1kJl7GZxzdD7wFDBR+tAJb3MEY2Uu3gJ8JjOfm5pRYzuPlDcifh54H/BLJcNcj62zH4+budN9ebbMLfVlHc/airX1BJ53JC28J1lbiw6/73f2/0Rr6wiyhhNWu3gDljI4wfgcjp1E+2PT1nkvL7xQwJYyvQJYUqZXA18HXl7ufwnYwLETld/Udt5y/xQGnW71tG0uL9MvYnAs9m802cZD627m+AsbPM7gRPDTy3TrbTxH3mXAPcD1M6x7RvkZwIeAmzrSxqcDp5bp5cBuyonkwKd54cng13Uh89D8SWBjE+084t/e+Qz+OT532vzG+3EFmTvbl+fI3Epf9rbg19HaWnPmoXU303JtrSBz4+9JY+a1tlaYmQ7V1zHzWluHt13VL9iHG/Am4NHSyO8r8z7AYHQP8OLSoHsYXPFqdZn/K8Aj5UV7CPjFoW2uB3aWbf45EG3nLcveAExO295LgG3Aw+X3+TCl2DeY+UIGxfow8C3gkaHHvqv8LnsYHHrQhTaeMS/wDuA5YPvQbW1Z9nlgR8n8MeClXWhj4KdLrq+Un9cObXN16UN7Sp86tQuZy7JVDP4RPWXaNmtr5xHy/hvwjaHX/s42+/E4mTvel2fL3Fpf9rag19HaWn/mTtXWcTLT0nvSGHmtrdVm7lR9XWjetvrxmJlr68tRNiJJkiRJUqUW0zmckiRJkqQGOeCUJEmSJNXCAackSZIkqRYOOCVJkiRJtXDAKUmSJEmqhQNOqaMi4vsRsT0idkbEpyPitBqf6wPlS4CJiOvrfC5JktpibZWa59eiSB0VEc9m5kvL9MeBbZn5pyM8Lhj8bR9d4PN+DVifmU8t5PGSJHWVtVVqnns4pX74d+BHASLihvLJ7M6IuL7MWxURuyLiLxl8gfrKiNgUETvKeh8s6y2JiM1l3o6I+J0yf3NEXBkRvw2cCdwbEfdGxLURcfNUiIj4tYiYtzBLktQD1lapAUvbDiBpbhGxFLgM+OeIWAdcA7wOCODBiLgfeAZ4DXBNZl4XEWcCHwTWlWX/GhFXAPuAszLzx8u2J4afKzM/EhE3ABsz86mIeAnwcET8bmY+V5771xv4tSVJqo21VWqOezil7vqBiNgObAWeAP4K+BngM5l5ODOfBf4BuLis/1+ZOVmmLwTuy8yDmfk88HHg9cBeYHVE/FlEXAr8z1wBMvMw8HngFyLitcCLMnNHtb+mJEmNsbZKDXMPp9Rd383MtcMzyjkkszk8vOpMK2TmMxHxk8AlwHuBtwDvmifHbcAfAP8J3D5faEmSOszaKjXMPZxSvzwAXBERp5VDcn6ZwTko0z0I/GxELI+IJcAm4P6IWA6ckpl/D7wfuGCGx34b+MGpO5n5ILASeBtwR6W/jSRJ7bO2SjVyD6fUI5n5UERsBr5YZt2WmV+OiFXT1jsQETcC9zL4RPauzPxs+QT29oiY+rDpxhme5lbg7og4kJkby7wtwNrMfKba30iSpHZZW6V6+bUokuYVEf8I3JyZ97SdRZKkk4G1VYuFh9RKmlVETETEowzOebEgSpI0JmurFhv3cEqSJEmSauEeTkmSJElSLRxwSpIkSZJq4YBTkiRJklQLB5ySJEmSpFo44JQkSZIk1cIBpyRJkiSpFv8HwPwyyU+dxwMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(221)\n",
    "GSLIB.locmap_st(df,'X','Y','Wts_kriging',xmin,xmax,ymin,ymax,0.0,2.0,'Kriging-based Declustering Weights','X (m)','Y (m)','Weights',cmap)\n",
    "\n",
    "plt.subplot(222)\n",
    "GSLIB.hist_st(df['Wts_kriging'],0.5,2.5,log=False,cumul=False,bins=20,weights=None,xlabel=\"Kriging-based Weights\",title=\"Declustering Weights\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "plt.subplot(223)\n",
    "GSLIB.hist_st(df['Porosity'],0.05,0.25,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity\",title=\"Naive Porosity\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "plt.subplot(224)\n",
    "GSLIB.hist_st(df['Porosity'],0.05,0.25,log=False,cumul=False,bins=20,weights=df['Wts_kriging'],xlabel=\"Porosity\",title=\"Kriging Declustered Porosity\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "por_mean = np.average(df['Porosity'].values)\n",
    "por_dmean[1] = np.average(df['Porosity'].values,weights=df['Wts_kriging'].values)\n",
    "\n",
    "wts_mean[1] = np.average(df['Wts_kriging'].values)\n",
    "wts_std[1] = np.std(df['Wts_kriging'].values)\n",
    "\n",
    "print('Porosity naive mean is ' + str(round(por_mean,3))+'.')\n",
    "print('Porosity declustered mean is ' + str(round(por_dmean[1],3))+'.')\n",
    "cor = (por_mean-por_dmean[1])/por_mean\n",
    "print('Correction of ' + str(round(cor,4)) +'.')\n",
    "\n",
    "print('\\nSummary statistics of the declustering weights:')\n",
    "print(stats.describe(wts))\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=2.5, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These declutering weights integrate:\n",
    "\n",
    "* the spatial arrangement of the data\n",
    "\n",
    "* the spatial continuity\n",
    "\n",
    "* the study area of interest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Polygonal Declustering\n",
    "\n",
    "The polygonal declustering method is based on Voronio polygons of influence.\n",
    "\n",
    "* weights are proportional to the area of the polygons standardized by the area of interest of the model\n",
    "\n",
    "* the method is sensitive to the boundary of the area of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def declus_poly(\n",
    "    df,\n",
    "    xcol,\n",
    "    ycol,\n",
    "    vcol,\n",
    "    tmin,\n",
    "    tmax,\n",
    "    nx,\n",
    "    xmn,\n",
    "    xsiz,\n",
    "    ny,\n",
    "    ymn,\n",
    "    ysiz           \n",
    "):\n",
    "    \"\"\"GSLIB's KB2D program (Deutsch and Journel, 1998) converted from the\n",
    "    original Fortran to Python by Michael Pyrcz, the University of Texas at\n",
    "    Austin (Jan, 2019).\n",
    "    :param df: pandas DataFrame with the spatial data\n",
    "    :param xcol: name of the x coordinate column\n",
    "    :param ycol: name of the y coordinate column\n",
    "    :param vcol: name of the property column\n",
    "    :param tmin: property trimming limit\n",
    "    :param tmax: property trimming limit\n",
    "    :param nx: definition of the grid system (x axis)\n",
    "    :param xmn: definition of the grid system (x axis)\n",
    "    :param xsiz: definition of the grid system (x axis)\n",
    "    :param ny: definition of the grid system (y axis)\n",
    "    :param ymn: definition of the grid system (y axis)\n",
    "    :param ysiz: definition of the grid system (y axis)\n",
    "    :return:\n",
    "    \"\"\"\n",
    "\n",
    "# Load the data\n",
    "    df_extract = df.loc[(df[vcol] >= tmin) & (df[vcol] <= tmax)]    # trim values outside tmin and tmax\n",
    "    nd = len(df_extract)\n",
    "    x = df_extract[xcol].values\n",
    "    y = df_extract[ycol].values\n",
    "    vr = df_extract[vcol].values\n",
    "    wts = np.zeros(len(df_extract))\n",
    "    \n",
    "# Make a KDTree for fast search of nearest neighbours   \n",
    "    dp = list((y[i], x[i]) for i in range(0,nd))\n",
    "    data_locs = np.column_stack((y,x))\n",
    "    tree = sp.cKDTree(data_locs, leafsize=16, compact_nodes=True, copy_data=False, balanced_tree=True)\n",
    "    \n",
    "# Loop over the grid\n",
    "    ndmax = 1                                          # find the nearest data to the location\n",
    "    index = np.zeros((ny,nx))\n",
    "    xmin = xmn - xsiz*0.5; ymin = ymn - ysiz*0.5\n",
    "    xmax = xmin + nx*xsiz; ymax = ymin + ny*ysiz\n",
    "    xloc = np.arange(xmin,xmax,xsiz); yloc = np.arange(ymin,ymax,ysiz)\n",
    "    iy = 0\n",
    "    for ry in yloc:\n",
    "        ix = 0\n",
    "        for rx in xloc:\n",
    "            current_node = (ry,rx)\n",
    "            dist, nums = tree.query(current_node,ndmax) # use kd tree for fast nearest data search\n",
    "            index[iy,ix] = nums\n",
    "            wts[int(nums)] = wts[int(nums)] + 1\n",
    "            ix = ix + 1\n",
    "        iy = iy + 1\n",
    "        \n",
    "    sum_wts = np.sum(wts)\n",
    "    if sum_wts > 0.0:\n",
    "        wts = wts / sum_wts * nd\n",
    "        print('Standardized to sum of weights of ' + str(sum_wts))\n",
    "        print('New sum of weights is ' + str(np.sum(wts)))\n",
    "        \n",
    "    return wts\n",
    "\n",
    "# @jit(nopython=True)\n",
    "# def poly_declus(nx,ny,dx,dy,listx,listy):\n",
    "#     index = np.zeros((nx*ny,))\n",
    "#     for i in range(nx*ny):\n",
    "#         distance = 1e12\n",
    "#         for j in range(len(listx)):\n",
    "#             pp = np.sqrt((((i%nx-1)*dx+dx/2)-listx[j])**2+(((i//nx)*dy+dy/2)-listy[j])**2)\n",
    "#             if pp <= distance:\n",
    "#                 distance = pp\n",
    "#                 index[i]=j\n",
    "#     return index\n",
    "# # ii=poly_declus(nx,ny,dx,dy,listx,listy)\n",
    "# df['wt'] = np.zeros((len(listx),))\n",
    "# for j in range(len(listx)):\n",
    "#     df['wt'][j] = ii.tolist().count(j)/(nx*ny) #create a new column of weights in the dataframe\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Standardized to sum of weights of 10000.0\n",
      "New sum of weights is 289.0\n"
     ]
    }
   ],
   "source": [
    "wts_poly = declus_poly(df,'X','Y','Porosity',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz)\n",
    "df['Wts_poly']=wts_poly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Facies</th>\n",
       "      <th>Porosity</th>\n",
       "      <th>Perm</th>\n",
       "      <th>Wts</th>\n",
       "      <th>Wts_kriging</th>\n",
       "      <th>Wts_poly</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100</td>\n",
       "      <td>900</td>\n",
       "      <td>1</td>\n",
       "      <td>0.115359</td>\n",
       "      <td>5.736104</td>\n",
       "      <td>3.064286</td>\n",
       "      <td>2.057245</td>\n",
       "      <td>4.7685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "      <td>800</td>\n",
       "      <td>1</td>\n",
       "      <td>0.136425</td>\n",
       "      <td>17.211462</td>\n",
       "      <td>1.076608</td>\n",
       "      <td>1.542516</td>\n",
       "      <td>1.3872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100</td>\n",
       "      <td>600</td>\n",
       "      <td>1</td>\n",
       "      <td>0.135810</td>\n",
       "      <td>43.724752</td>\n",
       "      <td>0.997239</td>\n",
       "      <td>1.170270</td>\n",
       "      <td>1.0982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>500</td>\n",
       "      <td>0</td>\n",
       "      <td>0.094414</td>\n",
       "      <td>1.609942</td>\n",
       "      <td>1.165119</td>\n",
       "      <td>1.938405</td>\n",
       "      <td>1.5895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0.113049</td>\n",
       "      <td>10.886001</td>\n",
       "      <td>1.224164</td>\n",
       "      <td>1.965014</td>\n",
       "      <td>1.7051</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     X    Y  Facies  Porosity       Perm       Wts  Wts_kriging  Wts_poly\n",
       "0  100  900       1  0.115359   5.736104  3.064286     2.057245    4.7685\n",
       "1  100  800       1  0.136425  17.211462  1.076608     1.542516    1.3872\n",
       "2  100  600       1  0.135810  43.724752  0.997239     1.170270    1.0982\n",
       "3  100  500       0  0.094414   1.609942  1.165119     1.938405    1.5895\n",
       "4  100  100       0  0.113049  10.886001  1.224164     1.965014    1.7051"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Porosity naive mean is 0.135.\n",
      "Porosity declustered mean is 0.122.\n",
      "Correction of 0.0951.\n",
      "\n",
      "Summary statistics of the polyognal declustering weights:\n",
      "DescribeResult(nobs=289, minmax=(0.2819756671865989, 3.984325446814365), mean=0.9999999999999996, variance=0.40927076480664726, skewness=1.9395015754905447, kurtosis=4.287460624778004)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(221)\n",
    "GSLIB.locmap_st(df,'X','Y','Wts_poly',xmin,xmax,ymin,ymax,0.0,2.0,'Polygonal-based Declustering Weights','X (m)','Y (m)','Weights',cmap)\n",
    "\n",
    "plt.subplot(222)\n",
    "GSLIB.hist_st(df['Wts_poly'],0.5,2.5,log=False,cumul=False,bins=20,weights=None,xlabel=\"Polygonal-based Weights\",title=\"Declustering Weights\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "plt.subplot(223)\n",
    "GSLIB.hist_st(df['Porosity'],0.05,0.25,log=False,cumul=False,bins=20,weights=None,xlabel=\"Porosity\",title=\"Naive Porosity\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "plt.subplot(224)\n",
    "GSLIB.hist_st(df['Porosity'],0.05,0.25,log=False,cumul=False,bins=20,weights=df['Wts_poly'],xlabel=\"Porosity\",title=\"Poloygonal Declustered Porosity\")\n",
    "plt.ylim(0.0,60)\n",
    "\n",
    "por_mean = np.average(df['Porosity'].values)\n",
    "por_dmean[2] = np.average(df['Porosity'].values,weights=df['Wts_poly'].values)\n",
    "\n",
    "wts_mean[2] = np.average(df['Wts_poly'].values)\n",
    "wts_std[2] = np.std(df['Wts_poly'].values)\n",
    "\n",
    "print('Porosity naive mean is ' + str(round(por_mean,3))+'.')\n",
    "print('Porosity declustered mean is ' + str(round(por_dmean[2],3))+'.')\n",
    "cor = (por_mean-por_dmean[2])/por_mean\n",
    "print('Correction of ' + str(round(cor,4)) +'.')\n",
    "\n",
    "print('\\nSummary statistics of the polyognal declustering weights:')\n",
    "print(stats.describe(wts))\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=2.5, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(131)\n",
    "GSLIB.locmap_st(df,'X','Y','Wts',xmin,xmax,ymin,ymax,0.0,2.0,'Cell-based Declustering Weights','X (m)','Y (m)','Weights',cmap)\n",
    "\n",
    "plt.subplot(132)\n",
    "GSLIB.locmap_st(df,'X','Y','Wts_kriging',xmin,xmax,ymin,ymax,0.0,2.0,'Kriging-based Declustering Weights','X (m)','Y (m)','Weights',cmap)\n",
    "\n",
    "plt.subplot(133)\n",
    "GSLIB.locmap_st(df,'X','Y','Wts_poly',xmin,xmax,ymin,ymax,0.0,2.0,'Polygonal-based Declustering Weights','X (m)','Y (m)','Weights',cmap)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.5, top=1.0, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Interpretation of the Diagnostics\n",
    "\n",
    "* **Use Declustering** - the difference in the declustering vs. naive feature means are significant, declustering should be applied.\n",
    "\n",
    "* **No Boundary Issues** - the cell and polygonal declustered means are very similar indicating that the boundary of the area of interest is not significantly impacting the result\n",
    "\n",
    "* **Spatial Continuity Should be Included** - kriging declustered mean is higher than both cell and polyonal declustering indicating that directionality and other variogram features may have an important impact.  It may not be approapriate to use cell nor polygonal declustering as they omit spatial continuity information.\n"
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    "#### Comments\n",
    "\n",
    "This was a basic demonstration of declustering to correct for sampling bias. Much more could be done, I have other demonstrations on the basics of working with DataFrames, ndarrays and many other workflows availble at https://github.com/GeostatsGuy/PythonNumericalDemos and https://github.com/GeostatsGuy/GeostatsPy.\n",
    "\n",
    "I have other demonstrations on the basics of working with DataFrames, ndarrays, univariate statistics, plotting data, declustering, data transformations, trend modeling and many other workflows available at [Python Demos](https://github.com/GeostatsGuy/PythonNumericalDemos) and a Python package for data analytics and geostatistics at [GeostatsPy](https://github.com/GeostatsGuy/GeostatsPy). \n",
    "  \n",
    "I hope this was helpful,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "#### The Author:\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "*Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions*\n",
    "\n",
    "With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development. \n",
    "\n",
    "For more about Michael check out these links:\n",
    "\n",
    "#### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n",
    "\n",
    "#### Want to Work Together?\n",
    "\n",
    "I hope this content is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working professionals are welcome to participate.\n",
    "\n",
    "* Want to invite me to visit your company for training, mentoring, project review, workflow design and / or consulting? I'd be happy to drop by and work with you! \n",
    "\n",
    "* Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PIs including Profs. Foster, Torres-Verdin and van Oort)? My research combines data analytics, stochastic modeling and machine learning theory with practice to develop novel methods and workflows to add value. We are solving challenging subsurface problems!\n",
    "\n",
    "* I can be reached at mpyrcz@austin.utexas.edu.\n",
    "\n",
    "I'm always happy to discuss,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "\n",
    "#### More Resources Available at: [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)"
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